{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Activation Maximization on MNIST"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "https://github.com/raghakot/keras-vis/blob/master/examples/mnist/activation_maximization.ipynb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "x_train shape: (60000, 28, 28, 1)\n",
      "60000 train samples\n",
      "10000 test samples\n",
      "Train on 60000 samples, validate on 10000 samples\n",
      "Epoch 1/1\n",
      "60000/60000 [==============================] - 139s 2ms/step - loss: 0.2495 - acc: 0.9229 - val_loss: 0.0486 - val_acc: 0.9843\n",
      "Test loss: 0.04858853696002625\n",
      "Test accuracy: 0.9843\n"
     ]
    }
   ],
   "source": [
    "from __future__ import print_function\n",
    "\n",
    "import numpy as np\n",
    "import keras\n",
    "\n",
    "from keras.datasets import mnist\n",
    "from keras.models import Sequential, Model\n",
    "from keras.layers import Dense, Dropout, Flatten, Activation, Input\n",
    "from keras.layers import Conv2D, MaxPooling2D\n",
    "from keras import backend as K\n",
    "\n",
    "batch_size = 128\n",
    "num_classes = 10\n",
    "epochs = 1\n",
    "\n",
    "# input image dimensions\n",
    "img_rows, img_cols = 28, 28\n",
    "\n",
    "# the data, shuffled and split between train and test sets\n",
    "(x_train, y_train), (x_test, y_test) = mnist.load_data()\n",
    "\n",
    "if K.image_data_format() == 'channels_first':\n",
    "    x_train = x_train.reshape(x_train.shape[0], 1, img_rows, img_cols)\n",
    "    x_test = x_test.reshape(x_test.shape[0], 1, img_rows, img_cols)\n",
    "    input_shape = (1, img_rows, img_cols)\n",
    "else:\n",
    "    x_train = x_train.reshape(x_train.shape[0], img_rows, img_cols, 1)\n",
    "    x_test = x_test.reshape(x_test.shape[0], img_rows, img_cols, 1)\n",
    "    input_shape = (img_rows, img_cols, 1)\n",
    "\n",
    "x_train = x_train.astype('float32')\n",
    "x_test = x_test.astype('float32')\n",
    "x_train /= 255\n",
    "x_test /= 255\n",
    "print('x_train shape:', x_train.shape)\n",
    "print(x_train.shape[0], 'train samples')\n",
    "print(x_test.shape[0], 'test samples')\n",
    "\n",
    "# convert class vectors to binary class matrices\n",
    "y_train = keras.utils.to_categorical(y_train, num_classes)\n",
    "y_test = keras.utils.to_categorical(y_test, num_classes)\n",
    "\n",
    "model = Sequential()\n",
    "model.add(Conv2D(32, kernel_size=(3, 3),\n",
    "                 activation='relu',\n",
    "                 input_shape=input_shape))\n",
    "model.add(Conv2D(64, (3, 3), activation='relu'))\n",
    "model.add(MaxPooling2D(pool_size=(2, 2)))\n",
    "model.add(Dropout(0.25))\n",
    "model.add(Flatten())\n",
    "model.add(Dense(128, activation='relu'))\n",
    "model.add(Dropout(0.5))\n",
    "model.add(Dense(num_classes, activation='softmax', name='preds'))\n",
    "\n",
    "model.compile(loss=keras.losses.categorical_crossentropy,\n",
    "              optimizer=keras.optimizers.Adam(),\n",
    "              metrics=['accuracy'])\n",
    "\n",
    "model.fit(x_train, y_train,\n",
    "          batch_size=batch_size,\n",
    "          epochs=epochs,\n",
    "          verbose=1,\n",
    "          validation_data=(x_test, y_test))\n",
    "\n",
    "score = model.evaluate(x_test, y_test, verbose=0)\n",
    "print('Test loss:', score[0])\n",
    "print('Test accuracy:', score[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Saliency Visualizations\n",
    "\n",
    "\n",
    "\n",
    "To visualize activation over final dense layer outputs, we need to switch the softmax activation out for linear since gradient of output node will depend on all the other node activations. Doing this in keras is tricky, so we provide utils.apply_modifications to modify network parameters and rebuild the graph.\n",
    "\n",
    "If this swapping is not done, the results might be suboptimal. We will start by swapping out 'softmax' for 'linear' and compare what happens if we dont do this at the end.\n",
    "\n",
    "Lets pick an input over which we want to show the attention"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fb2a9fb4438>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from vis.visualization import visualize_saliency\n",
    "from vis.utils import utils\n",
    "from keras import activations\n",
    "from matplotlib import pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "class_idx = 0\n",
    "indices = np.where(y_test[:, class_idx] == 1.)[0]\n",
    "\n",
    "# pick some random input from here.\n",
    "idx = indices[0]\n",
    "\n",
    "# Utility to search for layer index by name. \n",
    "# Alternatively we can specify this as -1 since it corresponds to the last layer.\n",
    "layer_idx = utils.find_layer_idx(model, 'preds')\n",
    "\n",
    "# Swap softmax with linear\n",
    "model.layers[layer_idx].activation = activations.linear\n",
    "model = utils.apply_modifications(model)\n",
    "\n",
    "grads = visualize_saliency(model, layer_idx, filter_indices=class_idx, seed_input=x_test[idx])\n",
    "# Plot with 'jet' colormap to visualize as a heatmap.\n",
    "plt.imshow(grads, cmap='jet')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To used guided saliency, we need to set backprop_modifier='guided'. For rectified saliency or deconv saliency, use backprop_modifier='relu'. Lets try these options quickly and see how they compare to vanilla saliency."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for modifier in ['guided', 'relu']:\n",
    "    grads = visualize_saliency(model, layer_idx, filter_indices=class_idx,\n",
    "                               seed_input=x_test[idx], backprop_modifier=modifier)\n",
    "    plt.figure()\n",
    "    plt.title(modifier)\n",
    "    plt.imshow(grads, cmap='jet')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "Both of them look a lot better than vanilla saliency! This in inline with observation in the paper.\n",
    "\n",
    "We can also visualize negative gradients to see the parts of the image that contribute negatively to the output by using grad_modifier='negate'.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fb2a62a42e8>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "grads = visualize_saliency(model, layer_idx, filter_indices=class_idx, seed_input=x_test[idx], \n",
    "                           backprop_modifier='guided', grad_modifier='negate')\n",
    "plt.imshow(grads, cmap='jet')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "Lets try all the classes and show original inputs and their heatmaps side by side. We cannot overlay the heatmap on original image since its grayscale.\n",
    "\n",
    "We will also compare the outputs of guided and rectified or deconv saliency.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABBIAAAEJCAYAAAApcQQ5AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4wLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvqOYd8AAAIABJREFUeJzt3X+clXWZ//H3FYwCAiGioGCNpiaKZsqqJbtSqWFrmavrj7Kv9M1QizUrN61spR626a4ZtbYqmWGrpiZa6lcptTBxE0OWgACF1XGFBERCQEVn4PP94xy38TTnuu4595nzY+b1fDx8MDPv87nvz5xz39e55+M557KUkgAAAAAAALJ4S70nAAAAAAAAmgcLCQAAAAAAIDMWEgAAAAAAQGYsJAAAAAAAgMxYSAAAAAAAAJmxkAAAAAAAADJjIQEAUDEzu9bMvlb8eqKZreqUtZnZMfWbHYCe0Pm8L5MnM9unwm1XPBZA4zGzaWZ2U73ngerrX+8JAACaV0rp3HrPAUBtcd4DAHhFAgAAAACg28yM/zHdR7GQAAB9gJldZGZ3lPzsu2b2PTP7pJktM7PNZva0mZ3T6TYTzWyVmX3RzNaZ2fNm9slO+UwzuyzD/g83s9+a2cbiNq42sx2q+1sC6A4zO9TM/qt47v/UzG4zs8vMbLKZzS257f++5aD0vDezfyye1380s/9bMm5HM7vSzP7HzNYW3xYxMMtYAI2p+NbFi8xskaSXzextZjbLzF4ws2fM7Pwy4970FshO2+JtkE2IhQQA6BtulfQhMxsiSWbWT9Kpkm6RtE7SCZKGSvqkpO+Y2aGdxo6S9FZJoyV9StL3zWznbu5/m6TPSxoh6T2SPiDpMxX/NgByKS7k3SVppqThkn4i6aQKtjNJ0oWSjpW0r6TSPwgul7SfpEMk7aNCHfmnjGMBNK4zJP2tCvXjLkm/V+H8/oCkC8zsg3WcG2qAhQQA6ANSSs9KWqA//6HwfkmvpJQeSyn9v5TSf6eChyX9UtJfdxreLukbKaX2lNJ9krZIemc39/9EcV8dKaU2SddJOjrnrwWgckeq8FlZ3yue23dKeryC7Zwq6UcppSUppZclTXsjMDOTNEXS51NKG1JKmyX9s6TTo7EAGt73UkrPSRonadeU0jdSSq+nlJ6W9AP9+TxHL8V7WgCg77hFhf+D8GNJHyt+LzM7XtKlKvxfw7dIGiRpcadxL6aUOjp9/4qkwd3ZsZntJ+kqSeOL2+8v6YmKfgsA1bCHpNUppdTpZ89VuJ3O5/Kznb7eVYXz/YnCmoIkyST1yzAWQGN7o168XdIeZraxU9ZP0iO1nxJqiVckAEDf8VNJE81sjAqvTLjFzHaUNEvSlZJGppSGSbpPhYv9arpG0nJJ+6aUhkr6Sg/sA0B2z0sabZ3+wpe0Z/Hfl1VYAJAkmdmoYDt7dvr+bZ2+Xi/pVUkHppSGFf97a0ppcIaxABrbG4uQz0l6ptM5PiylNCSl9KEuxpTWln4qLDiiCbGQAAB9RErpBUlzJP1IhSf9ZZJ2kLSjpBckdRRfnXBcD+x+iKRNkraY2f6SzuuBfQDI7rcqfHbJVDPrb2YnSjq8mP1e0oFmdoiZDZD/loPbJU02swPMbJAKr26SJKWUtqvwEufvmNlukmRmozu9d7rsWABN43FJm4sfvjjQzPqZ2Tgz+6subvuUpAFm9rdm1iLpEhWuQdCEWEgAgL7lFhU+0OwWSSq+Z/l8FS7o/6TCWx7u7oH9Xljc9mYV/rC4rQf2ASCjlNLrkv5OhQ9Q3SjpTEn3SnotpfSUpG9IelDSCklzne3cL2m6pF9JWln8t7OLij9/zMw2Fbf5zoxjATS4lNI2FT6w+RBJz6jwSqTrVfiQ5tLbvqTCBy1fL2m1Cq9QWFV6OzQHe/Nb4wAAANAXmdk8SdemlH5U77kAABobr0gAAADog8zsaDMbVXxrw1mSDpY0u97zAgA0Pro2AAAA9E3vVOFtTTtJelrSKSml5+s7JQBAM+CtDQAAAAAAIDPe2gAAAAAAADKr6VsbdrAd0wDtVMtdAn3OVr2s19NrFt+yMZgNStKwek+jCeVdB45ejeYdQv1yjJWk7UG+Lch5JV33bVRKr1AXer3osi4696Lck/fw4ryuvWarCzslaWfvFsEWoucuz4AgbwnynuxwuNWPdwjm/nre/b/qZNG1SkfOPNKeY2xP17RobvWqidnrQq6FBDObJOm7KpyZ16eULvduP0A76Qj7QJ5dAgjMSw/Vdf/drQuFPxam9PzEep2BOcdHT87e08PQHGMl/6JDKnSI9OS5MOirZtR179SFWhke5NG5F+We6A+pCOd17TVbXdhZ0j84eXQMDunO9EqMDfKRftx/3xz7VvCUvdQfu8cBft7Wzbn8hUVOFl2rbMiZR/J0luzpmrYu5/iekr0uVPy/tMysn6TvSzpe0gGSzjCz4EgF0JtRFwCUoi4AKEVdAJpfntfGHi5pZUrp6ZTS65JulXRidaYFoElRFwCUoi4AKEVdAJpcnoWE0ZKe6/T9quLP3sTMppjZfDOb367XcuwOQBPodl2QXqnZ5ADUBXUBQKkK6sLLNZscgFiPd21IKc1IKY1PKY1v6dEPGgHQLDrXBWlQvacDoAFQFwCUenNd4APbgUaSZyFhtaQ9O30/pvgzAH0XdQFAKeoCgFLUBaDJ5VlI+J2kfc1sLzPbQdLpku6uzrQANCnqAoBS1AUApagLQJOruP1jSqnDzKZK+oUKbVtuSCn9oWozA9B0qAvVFLUdilowHh3kUftHr+XSX7yNtcTaII/+p1M0tzytL6P2drSgqzbqQi3lbZ2ap91ZT247i57cPnWh2iqrCyb/cY6eG1qdbFMwNjq+gn2PC4avD/JRTjY/aHZxerDtB4N8QJAvP7h8NiIauyK4QdSyM6p5UUvcZU4WHU9RHl2n5WnDLTXCC3gqXkiQpJTSfZLuq9JcAPQC1AUApagLAEpRF4Dm1uMftggAAAAAAHoPFhIAAAAAAEBmLCQAAAAAAIDMWEgAAAAAAACZsZAAAAAAAAAyYyEBAAAAAABklqv9IwAgD6+/cdT7+Nmc+456Ny92slODsROC/P4gj3ojHx7kXl/pBcFYoN68fvVRT/WoL3nevujtTvZqMDbKo57r0fg8l7TRttEY3iL/GN0QjPdy79iWpFVBvsmPF94cjD842L33nN3qj73cez6XpNE5c6dmrW8Lxo4M8uB+1bIgj0Q1zxPVjaN6cN+S/7ivDcZWp+bxigQAAAAAAJAZCwkAAAAAACAzFhIAAAAAAEBmLCQAAAAAAIDMWEgAAAAAAACZsZAAAAAAAAAyo/0jAPQYr42b5Lff8VoYStLbc2xbClsuHXNy+WxusOnI+OP9fO5uwQaidlFeG6+ohVfUjilPezEgC+/SLDqvo/aPefYt+cd33lZmeds7RuO9+UXtdiN5W18imyS/vkePY1uOsZExQX52kLcF+f5OFl0vfCTIXwnyQUG+1MkOCsZG7aCjtrCHBnnU8tmrC3nrabTv6Boxaknq1ZXoOon2jwAAAAAAoMZYSAAAAAAAAJmxkAAAAAAAADJjIQEAAAAAAGTGQgIAAAAAAMiMhQQAAAAAAJAZCwkAAAAAACCzqCkveoF+w97q5k9evXfZbPn7rnfHXrLuMDdf/PH93Hzb0qfcHOjdvB7FUU/2qLfy6iA/3o9HVZhJ0uXBpk972s3XWNT/OMqvcrKo5/SjQQ7kFfUO9+pC3su2qK5EJjpZ1C/+ziDfHOTR3KPc65se7TsS9XtHdST550f03LCbk0Xn5eIgj55z24J8dJDPdjLv95KkOUF+RJC3Bbl37kX325ggXxbka4M8OibGOtk+wdjod1sV5F5NkqThQd4W5D2PVyQAAAAAAIDMWEgAAAAAAACZsZAAAAAAAAAyYyEBAAAAAABkxkICAAAAAADIjIUEAAAAAACQGQsJAAAAAAAgs7wNidEEtu/l92hdPPG6sll78rd92W5PuPm7Tnqvm++59Cl/B0Bd5e1bnqc3eVuQR/2Ho57uc/x4y7Hls4nBpidsdeM1V+wdbGBmkG/y43EXlc+WBGP1eJBHfZ2jntbo/aJ+9NGll1dXopoT1YVo/LogHxLkng1BHvVs3yXIXwxy776Jfu+obkSPeXuQI5sk/76M6u8RThYd29FjvCzIo2MoOne9556OYGyUR+dmxLveiK6Don1H587III8eV69u7BaMjWrW6CBfEOTRMeFtP+9jmk2uhQQza1PhCNkmqSOlNL4akwLQvKgLAEpRFwCUoi4Aza0ar0h4X0ppfRW2A6D3oC4AKEVdAFCKugA0KT4jAQAAAAAAZJZ3ISFJ+qWZPWFmU7q6gZlNMbP5Zja/Xa/l3B2AJtCtuiC9UuPpAagD6gKAUt2sCy/XeHoAPHnf2jAhpbTazHaT9ICZLU8p/abzDVJKMyTNkKShNjz46D4AvUC36oLZHtQFoPejLgAo1c26MIa6ADSQXK9ISCmtLv67TtJdkg6vxqQANC/qAoBS1AUApagLQHOreCHBzHYysyFvfC3pOElLqjUxAM2HugCgFHUBQCnqAtD88ry1YaSku8zsje3cklKaXZVZoVv67znGzfeasbJGMwF6W12Iei9H/ZGj/sdeD+CxwdiHgzzqrXyzH//scScMeiPPnBzs+/4gPzXIg/7IhzjZkhXBtqOe01FfZ3Shl9WFyMAgj44hb/zQYKx/PRB/9sTqID+0fDTC/KHrjwm2vSzIJwa51w9ekhY7WfSYbAryqNajCxXUhbfIPz+i52TvBQ/Rc+qqIB8e5MHzprznXMn/vQ8KxkZ/7u0f5C1+PMCpO1ujmvNokEfXYU5NyrR971opuA5rDWre9cGubz04GH9VsAGvLgWPWZVUvJCQUnpa0ruqOBcATY66AKAUdQFAKeoC0Pxo/wgAAAAAADJjIQEAAAAAAGTGQgIAAAAAAMiMhQQAAAAAAJAZCwkAAAAAACAzFhIAAAAAAEBmFbd/RO38zz+9180Pm7TUzf9l90eqOZ1uGfzeF9z8ua/5v9uIRX7/2IE/j/ruom/L20c36g3u9R+W4r7RC5zs0/7Q8RP8fP68YN9Bf2S333bQy36mH59x1vNuft9rfs/2lwYEzZn3mVY+az3MH9u20s+j311tQR71Gl/rZFGv+yhHdUR1xev3LuXrN78hGOvVFEl6e5AfEeTO/jfu4g+9ODj3lgf5z6J6fKcfD3Bq6tajgm1HDeGjx2VIkEfHlHduR+d9dL81kxb5z7vRuXWzk0W1/9Qgnx3k0fXAbkHuPWdHx9+zQb48yIOa1vEFJxzkjx13rJ+3BfmW6PheFuTeuf91f2jbWX4+ey8/38eP43Pbq9eLgrHVqQu8IgEAAAAAAGTGQgIAAAAAAMiMhQQAAAAAAJAZCwkAAAAAACAzFhIAAAAAAEBmLCQAAAAAAIDMWEgAAAAAAACZ9a/3BBBbdM6/uXl72lajmXTfnHd5PXslvcuP73p5dze/YfNHy2b9f/WEv3H0AVGf3Kjfe9Tkd3WQRz3dvd7LL/pD50f7PjzI24Lc64kd3C/D/L7PrcG+f7rj37v5ca2P+Puf7mRj/KFxr/Dofo96N3u9wCW/b3RHjrGonehxaA1y7/z5nj902Ff9fP9g1489E9zAqWkdQb/3U/z4hMN+6ubH6EE3v2Dedf4OjnTuu8Hn+2O3fNjPNSfIVwb56CAfEuSe6vSLbwyvSlrm5NH9uNnJjsoxVgpre//g/Oi4ys/HTSifLbnNHxsdA1Hd2BhcT49yslZ/qC4P8jV+POXkf3fzGQd9zt/AEq/mRdcDfk3a91/967AVs4I/ghTVHW//0fVCdfCKBAAAAAAAkBkLCQAAAAAAIDMWEgAAAAAAQGYsJAAAAAAAgMxYSAAAAAAAAJmxkAAAAAAAADKj/WMDaJnjtzhssX41mkn3/dfr2928rX1XNz9ppw1ufurgdX7+HzPKZieMPswdi76gJef4iUE+0o+jCuvlW2cGgycHedTGLZrceeWjY4Khp/vxt7bu6OY/Sje6+fRnznHzC77ptIEb7A6VLvDbOWlw0MJry8eDHdwf5F7Lpk3BWNRG1BY2qAs6OsjXOtnZ/tBJwabnB3nI+91X+EMn7OvG917st3392KV+O+m0p7n5O9KSstnTFrXVDNpDbjzTzzUvyOcEudequDe1d4y0yD+/8rTA9a9H4/rrX6+qY5WfD/PaQSvo5tcabPs0P9/ix5oUXE973aJXLfXHTjzAz0/w4/ee/J/+5hf/2s0/Nu9n5cMjg5oW1PoVnwzaO14QbD5sJ32Sk/nXUdXCKxIAAAAAAEBmLCQAAAAAAIDMWEgAAAAAAACZsZAAAAAAAAAyYyEBAAAAAABkxkICAAAAAADIjIUEAAAAAACQWdRIHFXy6kcPL5t9cvefumPb07ZceR7jHjrXzXd9yO8Hv+NL/ty+PNFfy1r890FvZ8eqL7/Xzcd8y+89i94g6q8d5UP8eFQw/JQg3+hkN032x14YbPtKr7GzFPbbdtqif+o/rnaH/nB10Ov+lK+68Rrzezf/OH3CzdPvy/eTf/p2/0F7x/jn3VwTnvDz/YN+28M+7eePeb3Kgz7kuj3IUTAwyFtybn90kAf95r1Ls3GD/KETg03fG+Rn7uXntzpZxwP+2K2tfj7tTjf+2Ean37ukkd/xn/NXbhhXNnvLtOSO1bQf+LmOCPLWID8myFc7mVczJGllkDeTfvKfl6Nzt9XJdgvGRvX1Ij8eEAz3rgckaZqTXRAcf9G1yE1+/Kn7g+f8900tH648wN/4Vj/Wz/zrgcnH3ubmuz7wP24+9ogFZbNlOtQdK81x06k/+hc3/4U+6OYrjnEuxCTpwVlO2OqPVVuQZxO+IsHMbjCzdWa2pNPPhpvZA2a2ovjvzlWZDYCmQF0AUIq6AKAr1Aagd8ry1oaZkiaV/OxiSQ+llPaV9FDxewB9x0xRFwC82UxRFwD8pZmiNgC9TriQkFL6jaQNJT8+UdKNxa9vlPTRKs8LQAOjLgAoRV0A0BVqA9A7VfoZCSNTSm+8kXSNpJHlbmhmUyRNkaQBCt7bB6CZVVQXpLf2+MQA1A11AUBXMtWGN9eFXWoyMQDZ5O7akFJKksp+Sk1KaUZKaXxKaXyL/A/mA9A7dKcuiAVGoE+gLgDoilcb3lwXhtZ4ZgA8lS4krDWz3SWp+G/0EcQAej/qAoBS1AUAXaE2AE2u0oWEuyWdVfz6LEk/r850ADQx6gKAUtQFAF2hNgBNLvyMBDP7iQqdiUeY2SpJl0q6XNLtZvYpSc9KOrUnJ9kM+h34Tje/7KoZZbPxO7webb2CGf3ZXS/v7uaX/PrkstnYLy13x27bFPUv9r1zxX5u/vhH/Ma7h+9YvgHt/ef5/VuPG/AlN2/9Z79ffHrtNTfvzZqnLkQ9pYMewVODl1e3BZvfJ8i9Cjw/GHvlND+fHOQzX/Fz52OvBioYuzJomB20Rtbl+7rxguP9/ID7y5+7X9M33LHTjzrHzS+48Do315VeX2dJw8rX24I2J1sbjK2v3lMXXvXjAaf5edQXXc/48fi9ykYn/85v+D7riuDk2hLse2H5fUuSOuaUz0Yd649d78caE9yvj/nxB1r+082/3f6Zstl5l17ljr3mmC/4O5/gx5J/PSENDPK2aAcNrXq1oZ/8z0mIauRoJwvOe3esJK3w461zgvEf9+MLlpWN9k7+c+4w/cnNF1zvH8A//P1UN9ccp65MC2rKg36sucHjMs6PX7BfuPnG9V7dCf7Guf7TbvyqrnbzFav9vx314FI/d69hHw7GVke4kJBSOqNM9IEqzwVAk6AuAChFXQDQFWoD0Dvl/rBFAAAAAADQd7CQAAAAAAAAMmMhAQAAAAAAZMZCAgAAAAAAyIyFBAAAAAAAkBkLCQAAAAAAIDNLKdVsZ0NteDrCemenF3v3gW5+5z0/qnjbLdbPzT/R5vdu3nya35+4Y9Xqbs+pVp772nvdfP4508tm0f3Wnra5+cl/e5abb/99+Z6+9TQvPaRNaYPVex5Zme2RpCk9tPWoN3eg9aJ8488N8rlOdm3QjH5/v2+0tswKdn5EkI8pHwWt6nVT8LxyQnB4Xu7HYw9c4ObLdnV6Kwe97E9ON7n5eo1w84fHTvJ3sNzvV+8fswcFY72G3DOU0h+pC1XxVT8e3+Ln84Nzc/bJZaN0kP8Q/nSPE9z81L++x9/33Pv9XMeXj0YFQ9es8vMRTs2RpMnB9q+c58YDNu5bNjvmrQ+5Y5/Ufm6+4vPvcnNNn+nnGhvk3vVG9DznjW22urBvkr7n3GKFv4Fp5zvZK/7Yiwf5uVd+JWl+MDe96sdnH1w2uuIH/+AOPdqudvPTkn89+6xtd3Op/LmlOUE9nPhisO2b/Xi585hK0v7P+PmRe5XPgmsRtflx+qZ/av3kqRPd/LzXrnXzlwZ4B91Qd6zkXUdlrwu8IgEAAAAAAGTGQgIAAAAAAMiMhQQAAAAAAJAZCwkAAAAAACAzFhIAAAAAAEBmLCQAAAAAAIDMWEgAAAAAAACZ9a/3BBD7ytrxbr7p7F3cfNuqqHdt42qd5Td9/9pHjyybXT7qd9WeDprOx4N8kx+3RdsP+qJf7PeFnpDK7+CRsce5Yw/b/IibL7itfC96SdLpwdzl9Ha+ya850vV+fO86P1/1VTdetjDqdb/IyY53R8667kw3bzklOGaWz/Hzy77g55fc7YSH+mPDRuYoiPprB4/xhUFf9IXR/v3jf84HjygfXuRv+bYrTvNvMDc47/fxzw+tdOrCmtv9sWr14/XB8TticrB9//zY6vSz33jiMHfsZg3xd+1fpklq9+P+zmMuSR2POuHRwb6XBXkzeUXSAicPauQcL/yOP3ac/7yky/1YGh3kN/vx1oPLRl/6/tX+2P39+NmHgxtobpA7deWyvYKxA4N8opuOeufTbr5m3N7+5gd4u77JHfqetIe/7Xf58b/pfDd/aeIofwNuTfXOk+rhFQkAAAAAACAzFhIAAAAAAEBmLCQAAAAAAIDMWEgAAAAAAACZsZAAAAAAAAAyYyEBAAAAAABkRvvHGmmxfhWPXXRoCm7RvO0dQ2Zu3P8t28tmee5zSfrj1/181EdzbR610H+Mn3c8E2xgbZD77XUGb3mPm/9ml/ItHqdt8Pf8xLq/dvMdjnnJzdvD3pZeHrSIUzB5HeXHC732jZL2D9pwne5kUYuuc/02V+3nTgg2ELRcGjcxGL+4fDTsI/7QjcGmURS1GwsujWYHw6ND5MGxbnz0px8vHx7ib3rWEL99aaF9nqM1GL6yzQmHB4Mjk/24NRrvn3t7nzi4bLb4tYPcsS/N9tuw7f3xP7j502cG5+4IP9Yar5Vw3vu9mST5rTSD55aLnWzOx9yhv/24f/K958xv+fuOejBqs5uO+g+nzeHbgk0/HOT/J8ij+1X3lI82Ru0fBwW530Z7vJ5083svCdo/evV8kl9Pnwv+/pr2bn/Xl6VL3Hzqb/22nststZNG7Uaj67RseEUCAAAAAADIjIUEAAAAAACQGQsJAAAAAAAgMxYSAAAAAABAZiwkAAAAAACAzFhIAAAAAAAAmbGQAAAAAAAAMguaJSOrJ8/z+6C2p201mknv0vZ3u7j5HbuW77fdnvq5Y6PHZI9L3Vjb/RiN4JQgXx/0N37wgWADfj/6LYNfc3ObXj7b+XNT/LH7XufmWjnXz0cEze7PdfLL/KE64SI/v/eKYAOH+vHy4HdrdebutwKXHuvw82j8wn38fH4w3uvXPSwYujHaNgqCx0gH+3Fw6ujaV9x4XNrJzR+w8tnAFJwbF/ixJgU9272e6pL8Xvcrg7FfjTbuuz66wVg3PV//WH7TO57tjn3p6lFu/vTVB7q5dI0fDzvPz9d4YVCzehWT1OLk7f7wSU42zr8eeM/3F/rbjsrKyhfdeNfkX7D89+C3lw+v9Xdte3/Xv4E25cwPKh/NX+UPPWaMnz94hBvf+6if6/Rn3Pj96Q9ls1+dcYI79iAtdvOjkv9k8YEnH3Hz8HpD3jVqbepC+IoEM7vBzNaZ2ZJOP5tmZqvNbGHxvw/17DQBNBLqAoBS1AUApagLQO+V5a0NM9X1Gt53UkqHFP+7r7rTAtDgZoq6AODNZoq6AODNZoq6APRK4UJCSuk3kjbUYC4AmgR1AUAp6gKAUtQFoPfK82GLU81sUfElSzuXu5GZTTGz+WY2v13++4UBNL1u1wXJfz8xgKZHXQBQqoK68HIt5wcgUOlCwjWS3qHCx0A8L+nb5W6YUpqRUhqfUhrfoh0r3B2AJlBRXZCCD/8C0MyoCwBKVVgX/A8qBVBbFS0kpJTWppS2pZS2S/qBpMOrOy0AzYa6AKAUdQFAKeoC0DtUtJBgZrt3+vYkSUvK3RZA30BdAFCKugCgFHUB6B36Rzcws59ImihphJmtknSppIlmdoikJKlN0jk9OMemcMlf31PvKTSk/nv6/WE3H7aHm1/7yX+v5nTe5PHXBri5vd6XejN3T9PUhQeDfH20gWPz7X9EkDs9gi+47jp/7MqgN3PU7H79Ij9fc3D5bGqw62hqp1/k57f6fZ/9PuKS5jrZlmDT0dPiwnnB+I/4cXjMLSgftTm9uhtA09QFtQX5UD++Y2Qw/nE3/YxmuvmjTva+6Phs9WPNTsEN/jnIv1o+GjbRH7ox2HT0uRgPXu/nPzvfjX+sT5TNlsz7K3/bc/xYHVFdGBuMD4ZruJM19ucYVrcumPwavUvlE70giD/1LTefPvXCYAfXuunngyeHQd67OuYHu9bmIL8qyI/y40k5rpXWBHlX/T46m7AiuMHNbvqr704rHwbLW68Eb8E7QEv9DUTXAzcF+SnHO+GdweDqCBcSUkpndPHjH/bAXAA0CeoCgFLUBQClqAtA75WnawMAAAAAAOhjWEgAAAAAAACZsZAAAAAAAAAyYyEBAAAAAABkxkICAAAAAADIjIUEAAAAAACQWdj+Echj6ddHufkfjru6x/Y9a8sIN7/mwr938wHL/F7gaAJRj15t8uPBQT/58X583K9/7t/gOidb6Q+VVvvx4DF+vmWIn890Mr8dtj9WkgYEuW4J8mMl/XkLAAAUmklEQVT8+HrvcX3VHztggp9Hz5pbpvn5tV8KNtDuZIuDscgmOK+1mx/7Ty3S+oFufJpuc/PUr3x2mG709+0/5UorLbjB/n68j5OdEGx6dpAvv97PLzzfz4PffcHNzrl9mT9WHXcHN1gb5MExt3JRMN6rW8uCsb3Jdvn3xbxg/ILy0dnnuSOnT/uyv+lxwa6XnOvGp+gQf7wT3zj9VH/sdz/s59H1hI7wY+93nxtsemOQL7zCz0+/yM+PnObng51sqj/04U9OcvMx4170NzDdj8P7RvdEN+hxvCIBAAAAAABkxkICAAAAAADIjIUEAAAAAACQGQsJAAAAAAAgMxYSAAAAAABAZiwkAAAAAACAzFhIAAAAAAAAmUUdsQFXy5zd3fxbu8+q0Uz+0szV73XzAfc8XqOZoH5uCnKvH7WkLcHwOf74X14X9D33Tp8xwb6vbPfzjmB89Ls/5mQDgk077dolSbOjx+XoIH8wyB0Tv+rn44PxM4N8y8jgBtHcBzpZ1Kse2UQ904PnhuXRY3y/m56na938tu9OLpttUz9/115PdElqDfK2IF/pZGuCscvnBDcI6qW3b0maHOR5tq1lQd4S5EODfEWQb3Iyr2b0Ni2SvPNvSDDeeW4ZFgw9Jcinrwpu4NedSZrt5g/84piyWT9tC/YdPXccGuRtfnyl95hE9fKVIB/tx7cGw29d6uf9DyifTQ623Rbk0TGzalFwgw1B7v0ZH1wjVgmvSAAAAAAAAJmxkAAAAAAAADJjIQEAAAAAAGTGQgIAAAAAAMiMhQQAAAAAAJAZCwkAAAAAACAzFhIAAAAAAEBmXgNKdEM/2+7mLRb0fnZs+tiRFY+VpK9/44du/r6BWyvedvR7taeot23l90skvT/qFY7eb12QB/23B5zn5xOCzU/1Y1uYymbvOfBX7tjfary/8UP8WAud3smSNNHJJgXbnv294AZBv/jWYHjb8OAGTs/2tmDowiDfODe4QdTHPGpY7/WLj3pKI5tXgzy6n6P8IDe9/YqT3fyYix4sm+2nJ92xq2bPcXNpbM7ccWvUt/xwPw5KmrYEeTR+vpN13B0MPirIHw/y6HokOiY9a3OMbTYd8s+/ezKML2PjMn/o9InBtluC3Pf0QQe6+RmLby2bnaPrgq0fG+SzgnxQkHv3XfScNzrI24I80D+41ulYWj67Pjovg2NmzsRg/KNBHtVU776L7vfq4BUJAAAAAAAgMxYSAAAAAABAZiwkAAAAAACAzFhIAAAAAAAAmbGQAAAAAAAAMmMhAQAAAAAAZEb7xyq5/LZT3PzUT02veNu/+dfvu3ncYtHXXr4DXW555xYZ99C5ZbN9taBH941msFu+4VE7sTODPGpX5nR2/e309weDr/DjCRf5+WNem0FJmlM+uiNqKxS0eVPQam3VR4Lxi4P8tPJR26JgbFuQR7/7PkG+S5DPC3L0vOjcaMu3+Yv9dn3nTr62bHbASKdVmSSdfYKfX3+/n0ctcUc42dag/d2oIF/jx2FL22j8cu/cj9q8OS1lJUUtP+O6EbV5i3Jk47XnDY7P1qB2t30z2Hfw3LBklRs/flL5trGv3bWjv+1pfqxpwfHZP7ie6PDaIkd/ao4M8qD1amswvO2J4AZey9CoNWW08zlBHrXbbQtyrxVqa85tZxO+IsHM9jSzX5vZUjP7g5l9rvjz4Wb2gJmtKP67c1VmBKDhURcAlKIuAChFXQB6ryxvbeiQ9MWU0gEq/P+zz5rZAZIulvRQSmlfSQ8VvwfQN1AXAJSiLgAoRV0AeqlwISGl9HxKaUHx682SlqnwWo8TJd1YvNmNkj7aU5ME0FioCwBKURcAlKIuAL1Xtz4jwcxaJb1bhTdxjkwpPV+M1qjMm1zMbIqkKZI0QIMqnSeABpW3Lkhv7ekpAqgx6gKAUtQFoHfJ3LXBzAZLmiXpgpTSmz6JKKWUJHX5kX0ppRkppfEppfEtCj4MBEBTqUZdEAuMQK9CXQBQqjp1YacazBRAVpkWEsysRYWT/+aU0p3FH681s92L+e6S1vXMFAE0IuoCgFLUBQClqAtA75Sla4NJ+qGkZSmlqzpFd0s6q/j1WZJ+Xv3pAWhE1AUApagLAEpRF4DeywqvJnJuYDZB0iMqNO7eXvzxV1R4f9Ptkt4m6VlJp6aUvIaWGmrD0xH2gbxzbkj9DtjPzb90zx1ls8N33OqObbF+bt6etrl5T4rm9mjQV3rGmqPd/E+fGeXm9szqstm2TVEv8N5pXnpIm9IG68l9VLMumO2R/vftj1V3aJAHfZ1V/vjKZlnFI9+y5lNuvn1j8BLPccEOOqYFN/Byv9912Dt54pm5hssvC9LPnOzKYOwdS4Mb7BvkVwV5JOpnX6kZSumP1IWaiPqirw3yS8smb93qj91zx+fcfMl5f+Xv+tpFfq6Dy0djgqEdQb7G60UvSQ8HedTz/SAn2xyMjR4z93DOkEfac44vp9nqwugkfSbHbHZzsuHB2OODPDpGohPgziAvb8DGT7v5tg7/I/Haxwz1d7A1up5uc7LoOii6zoqO/eh+nRTkhznZrGBsdF5Hv1t0zEXbb3Wy6H7z5pa9LoQftphSmiup3MZ656oAABd1AUAp6gKAUtQFoPfK/GGLAAAAAAAALCQAAAAAAIDMWEgAAAAAAACZsZAAAAAAAAAyYyEBAAAAAABkxkICAAAAAADILGz/iGy2LX3Kzf/pC2eXzZ778PaymSQ9dfx1Fc2pEXzmhnPdfM9v/mewhT9VbzLog6Lexzl7/A72+g9Lmnqsnzvtj7ff4Q8d+9kFbn5Z+yVuvlLvcPM2XVU2u+ahL7hjdcyhfl6+HBbMCR63NUHP62ud7I5Vwc6jvs2PBnlkYJC/mnP7yK8lyKPHMMqj3uFtZZOXJu7ljnzl3kFu/sVrLnPzP16zh5u/rkVls1lPnumO1f5+LC0O8rOCPKr3zzrZ2mBs9FyRV3Q5HvWE7yt2kDTayfPU1+gxfjzIJ/px9BB3/IOf71/+3N46zR/6ru885uYfe/VmN++vbW4+RJvLZr/QB92xsz4cXE/cO83PdV6QtwX5E062LhgbGRnkUd0JrnU0xMmcC0xJ1appvCIBAAAAAABkxkICAAAAAADIjIUEAAAAAACQGQsJAAAAAAAgMxYSAAAAAABAZiwkAAAAAACAzFhIAAAAAAAAmUVdTVElA39evv/sfj/3x/7NGZ9185bJfh/S2Qfe5ubHLTm9bLZ95m7u2GRurNaFL7i535kWyKt8b+OCqOd00E9+yzV+fn3Q33h91EO4vGVT57j5yfvf529gcLCDNU62JRg7+AA/j9ob6/4gP8iPZ650wrHBtocH+V1BHvV79/qYozaC8zq3TUG+IciXl48ee9Qd2T7C7w3+7RMu8Xc90Y91q5PNnxUMjo59/3pDWhzkq4LcKzxRLY6eK6KiFtWFKEdBu/zHKnocvMcxeoxfDPIf+HGHf25KH/bj5c5z09a93KG/f+xINx/5W//4/4z+3c2/rG+VzZYde6g7Vg8u8vPo+V4PBHn0uHrXC9H1wNAgj54L8j4Xec8l0fNMdfCKBAAAAAAAkBkLCQAAAAAAIDMWEgAAAAAAQGYsJAAAAAAAgMxYSAAAAAAAAJmxkAAAAAAAADJjIQEAAAAAAGTWv94TQGzoTx7zb/ATPz5Jh7v5TnraSb0sti3XaCCvqI9u1ON3bJAf5cfro+07xoz088u+4OdRdZ8d5N74x5b6Y0cd4OeTg77Rp5zm5/P9WG1ev/mol/e8II96UtMPvvHlfYyGBPnoIJ9Y+fZb/X7x2j/Y9NYgvzzI13vh8cFg77yUpKiffDQ+6sme53F/NcdYVE+S1OHk0WPs1e9o7NAgPzTIg3NXq4LcOf7bBvlD23Zz41+OPdHPl//J375edLLbgrER/2+Y+HGJnrO968So5rQFeWuQe8dyFt742tQsXpEAAAAAAAAyYyEBAAAAAABkxkICAAAAAADIjIUEAAAAAACQGQsJAAAAAAAgMxYSAAAAAABAZiwkAAAAAACAzKJO4zKzPSX9WNJIFRq4zkgpfdfMpkn6tKQXijf9Skrpvp6aKIDG0Tx1IeoLHeUPBvmyIJ8Q5I6o3/uVQX5xkEftix/zwqBf+5oVwcbv9+O5Bwfbnxds/yAnezgYG/Vepp98Oc1TF/LaHOTPBnmO3uFtOfPBUS/7iNcv/vFgbFQX8p5bUT1HPTRWXRjuZNHxEz3fPxrkI4P88CAfUj7qH2x7VLDpI4N8xGQ/n+uFTwQbj66zosdlYJDneU6Pth3lq4I8+jM8mrv3XJT3fskmXEhQ4RnviymlBWY2RNITZvZAMftOSim6nAXQ+1AXAJSiLgAoRV0AeqlwISGl9Lyk54tfbzazZZJG9/TEADQu6gKAUtQFAKWoC0Dv1a3PSDCzVknvlvTG60qnmtkiM7vBzHYuM2aKmc03s/ntei3XZAE0nrx1QXqlRjMFUCvUBQCl8teFl2s0UwBZZF5IMLPBkmZJuiCltEnSNZLeIekQFVYav93VuJTSjJTS+JTS+BbtWIUpA2gU1agL0qCazRdAz6MuAChVnbqwU83mCyCWaSHBzFpUOPlvTindKUkppbUppW0ppe2SfqD4U0IA9CLUBQClqAsASlEXgN4pXEgwM5P0Q0nLUkpXdfr57p1udpKkJdWfHoBGRF0AUIq6AKAUdQHovbJ0bThK0ickLTazhcWffUXSGWZ2iAqtXNokndMjMwTQiPpIXcjb5m115dtf77WpkrR+k5+fGew6bEXltQby2itKcZuswJoHghtEbea8+W3o5mTQDX2kLkSitlptOcavDMYGrdK2BMNzCdrChmjf2EvVsC5ELe/WOlnQdjj8k6ktyKPrgdlB7nw+Zcdif+gqp3WkJM2MatbQIPfGB9cy4baj67B1QZ6nDWK072jbUU2L7veoVXD9a2aWrg1zJVkXURP3gAaQB3UBQCnqAoBS1AWg9+pW1wYAAAAAANC3sZAAAAAAAAAyYyEBAAAAAABkxkICAAAAAADIjIUEAAAAAACQGQsJAAAAAAAgs7D9IwD0XVGP3p7s4ev1u5binu1Rf+MNQe71N348x1gpvt8eDfLIgpzjAU/e8z7P+Lz7jupGxLtsjM57IK8k/xzIc37MyzG2GqK5t+XYdvR8PyTIo3PbqyuLg7E9eR0lSZuadNt59fT9WsArEgAAAAAAQGYsJAAAAAAAgMxYSAAAAAAAAJmxkAAAAAAAADJjIQEAAAAAAGTGQgIAAAAAAMiMhQQAAAAAAJCZpZRqtzOzFyQ92+lHIyStr9kEuoe5VYa5Vaaac3t7SmnXKm2rx1EXqoa5VaavzI260HOYW2WYW2WoC3/WVx6namNulekrc8tcF2q6kPAXOzebn1IaX7cJOJhbZZhbZRp5brXWyPcFc6sMc6tMI8+t1hr5vmBulWFulWnkudVaI98XzK0yzK0y9Zobb20AAAAAAACZsZAAAAAAAAAyq/dCwow679/D3CrD3CrTyHOrtUa+L5hbZZhbZRp5brXWyPcFc6sMc6tMI8+t1hr5vmBulWFulanL3Or6GQkAAAAAAKC51PsVCQAAAAAAoImwkAAAAAAAADKry0KCmU0ysyfNbKWZXVyPOZRjZm1mttjMFprZ/AaYzw1mts7MlnT62XAze8DMVhT/3bmB5jbNzFYX77+FZvahOsxrTzP7tZktNbM/mNnnij+v+/3mzK3u91u9URe6NR/qQvfnRV1oQtSFbs2HutD9eVEXmlAj1wWpsWoDdaGieVEXss6n1p+RYGb9JD0l6VhJqyT9TtIZKaWlNZ1IGWbWJml8Sml9veciSWb2N5K2SPpxSmlc8Wf/ImlDSunyYgHdOaV0UYPMbZqkLSmlK2s9n07z2l3S7imlBWY2RNITkj4qabLqfL85cztVdb7f6om60D3UhYrmRV1oMtSF7qEuVDQv6kKTafS6IDVWbaAuVDQv6kJG9XhFwuGSVqaUnk4pvS7pVkkn1mEeTSGl9BtJG0p+fKKkG4tf36jCAVRzZeZWdyml51NKC4pfb5a0TNJoNcD95sytr6MudAN1ofuoC02JutAN1IXuoy40JepCN1AXuo+6kF09FhJGS3qu0/er1FiFMUn6pZk9YWZT6j2ZMkamlJ4vfr1G0sh6TqYLU81sUfElS3V5udQbzKxV0rslzVOD3W8lc5Ma6H6rA+pCfg11fHehYY5v6kLToC7k11DHdxca5vimLjSNRq8LUuPXhoY6vrvQMMc3dcHHhy3+pQkppUMlHS/ps8WX3TSsVHhvSiP18LxG0jskHSLpeUnfrtdEzGywpFmSLkgpbeqc1ft+62JuDXO/oUvUhXwa5vimLqCKqAv5NMzxTV1AlTVNbaj38d2Fhjm+qQuxeiwkrJa0Z6fvxxR/1hBSSquL/66TdJcKL6FqNGuL75F5470y6+o8n/+VUlqbUtqWUtou6Qeq0/1nZi0qnGA3p5TuLP64Ie63rubWKPdbHVEX8muI47srjXJ8UxeaDnUhv4Y4vrvSKMc3daHpNHRdkJqiNjTE8d2VRjm+qQvZ1GMh4XeS9jWzvcxsB0mnS7q7DvP4C2a2U/GDK2RmO0k6TtISf1Rd3C3prOLXZ0n6eR3n8iZvnGBFJ6kO95+ZmaQfSlqWUrqqU1T3+63c3Brhfqsz6kJ+dT++y2mE45u60JSoC/nV/fgupxGOb+pCU2rYuiA1TW2o+/FdTiMc39SFbswn1bhrgyRZoSXFdEn9JN2QUvpmzSfRBTPbW4WVQ0nqL+mWes/NzH4iaaKkEZLWSrpU0s8k3S7pbZKelXRqSqnmH1ZSZm4TVXhZTZLUJumcTu8nqtW8Jkh6RNJiSduLP/6KCu8hquv95sztDNX5fqs36kJ21IWK5kVdaELUheyoCxXNi7rQhBq1LkiNVxuoCxXNi7qQdT71WEgAAAAAAADNiQ9bBAAAAAAAmbGQAAAAAAAAMmMhAQAAAAAAZMZCAgAAAAAAyIyFBAAAAAAAkBkLCQAAAAAAIDMWEgAAAAAAQGb/H/ssj+Yr02Q3AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1296x432 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABBIAAAEJCAYAAAApcQQ5AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4wLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvqOYd8AAAIABJREFUeJzt3X2clHW9//H3R0ARARFRUFDXxERFIyW1I8eotNC8wZu8+WlHKjU9mZl5jqaVa2lHO6ZkdPQgGp7jbXkvqXlTWJhgyEFFQSVcctEFkUhIURa+vz92rHXi+nyundndmdl9PR8PH8C+53td37nmuj4z+3VmPpZSEgAAAAAAQB4bVXoCAAAAAACgdrCQAAAAAAAAcmMhAQAAAAAA5MZCAgAAAAAAyI2FBAAAAAAAkBsLCQAAAAAAIDcWEgAAJTOza83sO4W/jzWzxlZZg5kdWLnZAegIra/7jDyZ2fASt13yWADVx8zqzeymSs8D7a9npScAAKhdKaXTKz0HAJ2L6x4AwDsSAAAAAABtZmb8j+luioUEAOgGzOw8M7uj6Gc/NrOrzeyLZjbfzFaZ2SIz+0qr24w1s0Yz+6aZLTOz183si63yqWZ2SY7972NmT5rZysI2JpnZxu17LwG0hZntZWb/V7j2f2Fmt5vZJWY2wcxmFN32bx85KL7uzezfCtf1a2b2paJxm5jZFWb2JzNbWvhYxKZ5xgKoToWPLp5nZs9K+quZbW9md5rZG2b2ipmdlTHuAx+BbLUtPgZZg1hIAIDu4TZJh5hZP0kysx6SjpV0i6Rlkg6V1F/SFyVdZWZ7tRo7RNLmkoZK+rKkn5rZFm3c/zpJ35A0SNLHJX1a0r+WfG8AlKWwkHe3pKmSBkq6VdKRJWxnnKRzJR0kaWdJxb8QXCbpw5JGSRquljry3ZxjAVSvEyR9Ti31425Jz6jl+v60pLPN7LMVnBs6AQsJANANpJQWS5qjv/+i8ClJb6eUZqaUfplS+mNq8bikhyX9c6vhayV9L6W0NqX0gKTVknZp4/6fLuyrOaXUIOm/JX2izLsFoHT7qeW7sq4uXNt3SXqqhO0cK+lnKaV5KaW/Sqp/PzAzk3SapG+klFaklFZJ+oGk46OxAKre1SmlVyWNlLRVSul7KaX3UkqLJF2nv1/n6KL4TAsAdB+3qOX/IPyPpP9X+LfM7GBJF6nl/xpuJKmPpOdajXszpdTc6t9vS+rblh2b2YclXSlpdGH7PSU9XdK9ANAetpW0JKWUWv3s1RK30/paXtzq71up5Xp/umVNQZJkknrkGAugur1fL3aQtK2ZrWyV9ZD0u86fEjoT70gAgO7jF5LGmtkwtbwz4RYz20TSnZKukDQ4pTRA0gNqebHfnq6RtEDSziml/pIu6IB9AMjvdUlDrdVv+JK2K/z5V7UsAEiSzGxIsJ3tWv17+1Z/Xy7pHUm7p5QGFP7bPKXUN8dYANXt/UXIVyW90uoaH5BS6pdSOmQDY4prSw+1LDiiBrGQAADdRErpDUnTJf1MLU/68yVtLGkTSW9Iai68O+EzHbD7fpLekrTazEZIOqMD9gEgvyfV8t0lZ5pZTzM7QtI+hewZSbub2Sgz6y3/Iwc/lzTBzHYzsz5qeXeTJCmltF4tb3G+ysy2liQzG9rqs9OZYwHUjKckrSp8+eKmZtbDzEaa2cc2cNuXJPU2s8+ZWS9J31bLaxDUIBYSAKB7uUUtX2h2iyQVPrN8llpe0P9ZLR95uK8D9ntuYdur1PKLxe0dsA8AOaWU3pN0lFq+QHWlpJMkTZP0bkrpJUnfk/SopJclzXC286CkiZJ+LWlh4c/Wziv8fKaZvVXY5i45xwKocimldWr5wuZRkl5RyzuRpqjlS5qLb/sXtXzR8hRJS9TyDoXG4tuhNtgHPxoHAACA7sjMZkm6NqX0s0rPBQBQ3XhHAgAAQDdkZp8wsyGFjzacLGlPSQ9Vel4AgOpH1wYAAIDuaRe1fKxpM0mLJB2TUnq9slMCANQCPtoAAAAAAABy46MNAAAAAAAgt079aMPGtknqrc06c5dAt7NGf9V76V2Lb1kdzPokaUClp1GiaC02ytc5WbnvFusV5BuXMT46vZqDfE2Qrw1ytN1KpfQ2daFT9Ajycq6faGyUR3WlnPG8w7X2dLW6UM75G123kehXqn9oYNDG8W+1YS5tFXVf/EuQe8c9ul/R74VvB/mmQf5OGeOj+x29jor2HZ1z64PcO6dWBWO955n8daGshQQzGyfpx2o5ElNSSpd5t++tzbSvfbqcXQIIzEqPVXT/ba0LLS8KTuv4iXWI6Aksyr1CX+4v04ODvC7It3ayaJFiRZDPD/KlQY62m1zRvXevutA/yKOXXt71E1170bajRb5yxrMAWHu6Wl2Irg/vHI2u28jAID+szPGPtmEubVUX5A8GuXfco/u1f5DPCfI9gvy5MsbfH4ytK3Pf/YI8Wog42MmmB2O955n8daHkjzaYWQ9JP1XLvdhN0glmtlup2wNQ+6gLAIpRFwAUoy4Ata+c70jYR9LClNKilNJ7km6TdET7TAtAjaIuAChGXQBQjLoA1LhyFhKGSnq11b8bCz/7ADM7zcxmm9nstXq3jN0BqAFtrgvx598A1DjqAoBi1AWgxnV414aU0uSU0uiU0uhe4Zd5AOgOWtcFqU+lpwOgClAXABSjLgDVq5yFhCWStmv172GFnwHovqgLAIpRFwAUoy4ANa6chYQ/SNrZzHY0s40lHS/pvvaZFoAaRV0AUIy6AKAYdQGocSW3f0wpNZvZmZJ+pZa2LTeklJ5vt5kBqDndry5E7R139eMRB2VnC6Ke7BcH+SlB/kSQey2bov7EUbumqOVR1C4qai+JatL96kJ0fi8L8n2dLOol3xDkI4I8alfmtXmrC8ZG9XJhkNNesisprS6Y/HMwOkfKGTs8yL1WfFLcys+C3Jv7DsHYoB30kOAjI013Bdv3nrOPCsZGLTuH+fF+wfCGHf38JCebepY/9vhg35OCc2JYcN8bo3U1r3Vl9BqvfZS8kCBJKaUHJD3QTnMB0AVQFwAUoy4AKEZdAGpbh3/ZIgAAAAAA6DpYSAAAAAAAALmxkAAAAAAAAHJjIQEAAAAAAOTGQgIAAAAAAMiNhQQAAAAAAJBbWe0fAaBri/qeBwYc5OejnWxBsO0h9X4+3Y/H7OL3zP6sfpqZfWfxf/gbr1vh53oryOcEOVDNorpRTj/6pcHY+X58+lg/n3G0ny93sqYr/bE6PcinBPk7ZeaAJ7puvetS0rA+fj4yyJuC3Q8Zm5099Gww+G4/Hn2On0+Lrq2dnaxXMPYmP+55kp9Hr5UeDfLm7Ogj/znTHfrM0/u5+Wk/+S83n6tRbv7UE4e7ucY87eedgHckAAAAAACA3FhIAAAAAAAAubGQAAAAAAAAcmMhAQAAAAAA5MZCAgAAAAAAyI2FBAAAAAAAkBvtH2vARn38ljF7/36Vm1+01Vw3/8wLR2VmGx+02B0LdG39g3wPP155p5/f5F3b/dyhvebt6eZ/7ruFm39Vk9z8O3Z2ZjYsNbhjG88f6+a6LDguYRsu2ryhkqK6EJ2/dX7sdQRbONgfe7yfp23MH3+IH19y+Tczs+/YFf7gkP9aJqqJ1IXuwOT/6rJ1MN47R5w+gJKkp/y4caCfN/nP2WqeEey/Ljs6Jdj2FL/l7MP3/7ObH/S4Pzdrqs8Og+6Naj4xyF/x85X3+/klZ/l57+zoGfntHaNTZvLwr/s3iB7yqFOwvPsePFe0E96RAAAAAAAAcmMhAQAAAAAA5MZCAgAAAAAAyI2FBAAAAAAAkBsLCQAAAAAAIDcWEgAAAAAAQG4sJAAAAAAAgNy8ZqzoJBv18XrJSy9N3sXN79lqspuvD/b/6jPbZGY7aXEwGujKgr7QYb7Uj4cdnJ01vuAOXXuo38t+9yefd/PFtq2bN6TsBsY/szfcsRcvSG6uy5b4edg8+bkgBzrSpkHu9aqXpFV+PMjJ5vp1oe/Erfxtj/bj2xf4+aUXXJAdXuuP1SVB3hi9JI2OO7q+9fKvr72C8cPK2PesIJ/vxwv28PNRY/x8tZPN9odKP3HTg+bN8IfPDTZ/dvb4E9JL7tBb7Zhg49FjtqsfLw+Gz1jrhMFjGnoryIOa1rx3MP4oJ5sejG0fvCMBAAAAAADkxkICAAAAAADIjYUEAAAAAACQGwsJAAAAAAAgNxYSAAAAAABAbiwkAAAAAACA3FhIAAAAAAAAuUVNe9EJFl34ETd/4ZNXu/mJi5xe9JLevHRHN9/poZluDnRdUV/yhiD3+g9LGn+SG3/o7uczs0Wn7h5s248X/3KEf4Mz/bju8WWZ2UtpO3fsxRf72w6P+6Cj/fykIG90sjv8oXGv8JeDPPu4tQjOGbdHOjpH/yCPHsPFfjzIrwsa6WQzd3OHrvqpufkz83d28+Of8Hu+a7/saIf5C9yhi0/fyt+26oJ8SZAfGOTetbUwGBv1g28O8uicQftoCPLnsqO+E/yhqw8Ltj3Fjxv8a1OrL3Xj3ivPyMzWDLjTHftYutfNx+sWN7/3+hPcfEhalJn109PuWOlZPx4yxs+b9vfzGdOD/Q93sjnB2AY/Hlfv5w+lYPuR+WWOL19ZCwlm1iBplaR1kppTSqPbY1IAahd1AUAx6gKAYtQFoLa1xzsSPplSWt4O2wHQdVAXABSjLgAoRl0AahTfkQAAAAAAAHIrdyEhSXrYzJ42s9M2dAMzO83MZpvZ7LV6t8zdAagBbaoL0tudPD0AFUBdAFCMugDUsHI/2jAmpbTEzLaW9IiZLUgp/bb1DVJKkyVNlqT+NrDcb5UAUP3aVBfMtqUuAF0fdQFAMeoCUMPKekdCSmlJ4c9lku6WtE97TApA7aIuAChGXQBQjLoA1LaSFxLMbDMz6/f+3yV9RtK89poYgNpDXQBQjLoAoBh1Aah95Xy0YbCku83s/e3cklJ6qF1m1c28t3XUf9j37O/8vtA7PvRkWdsH2qDG6sKuQb5HkN/tx8E9X3Tk7tnhTH/sxOu+4uZn3/nf/gau9WPdlB19+I5X/bH1bwYb39eP1wTDZwT5bO8GjweDo/8hdlCQRx4J8qiffU2qsbqwQ5D3CvKg93j0/fS3OdmC4OIITt9Ru7zk32C8H+vM7GjxL0cEg6cH+Yog3zrIBwe5168+2ndUF7xe9Hm2H/WrXxLkNamEutBT0kAn7xPsclV2tDp63trSjwec6sZDPr3IzZvUz83XzHTu9zB/31/SP7v5YmtyczWsdeOmEz6UmU2+7XB/28N39PMhfqymm4MbOI+5JLeuHDPBHxrEn/ncvW7+8OVH+BuIfj2c6b1GjWpO+yh5ISGltEjSR9pxLgBqHHUBQDHqAoBi1AWg9tH+EQAAAAAA5MZCAgAAAAAAyI2FBAAAAAAAkBsLCQAAAAAAIDcWEgAAAAAAQG4sJAAAAAAAgNxKbv+I9tOr73tuvmq9n2//yLvtOR2gG9kryN8J8qB3+Jq3/Hxa/8zonrWfdYce8crDbn72Mef7+64LejevdrIDvX7skjQ0yJ8I9v2yn4852s+njsnOvu1kknSPH2tQkC8Pch0X5I86WWMwtkv2mq+AYUE+J8gv9OPjg+G3PZgZpdcPcYe+8Fqw7fHBOTQtuO+HOtmkqC44/dolSX6veqkuyH8e5Kc4WXYtbhHUrLBne7T9XYN8oJMtC8YuDfJa0iz/WM8KxnvH8Vp/6KDgul7uP9832Rp//IFn+XlDdlT/6nnu0Ivu/qGb223J33d0bd5W74TedSdp4dVB3svPe57h581BXeq7W3Y20x+qO/zj9vCZR/jjpwTbHxnkGuxkewRj26cu8I4EAAAAAACQGwsJAAAAAAAgNxYSAAAAAABAbiwkAAAAAACA3FhIAAAAAAAAubGQAAAAAAAAcmMhAQAAAAAA5Naz0hPoLnoMz+7Z/vwBN7hjv/7ap/1t/ybqaQ1gw6Le335faJ1/uJ8PCDZ/fna0Tj3coVfuGPROHptdcyTphN/4defWw76UHU6739+3Lgjyo/y4zuuNLGlifZA7PdvrzvHHBpvWFUGuN4M8ahw9PNoBqt3wqO95tAGn7vzUH7nbYcGmfzPMjcd87hE3n+Gen/ODnY8NcqefuyT1DYav/kRwA+e10rCD/aHHHOTns4NdR/ma24MbvONkmwZj8Xc7O9mz/tD9gk1PWxrcILg+Rgbn/6FrMqNV6ucOvetI//weppfdvPFG77hJGlOfnc3wh/rntiTt6cd+SZOGB+N7O5u+3z8u2+lVN3/yO5/y913nx5p9aXCDoU4WHdf2wTsSAAAAAABAbiwkAAAAAACA3FhIAAAAAAAAubGQAAAAAAAAcmMhAQAAAAAA5MZCAgAAAAAAyI32j53kxfqoDxw25N2DP+bmq7Yr/RTe6mm/tV96+vmSt41q4bXGkaSgXdOooOXXKcmNP77Tb9z8yfrs1kBHP/GAv+8xV7vxwekuN1+qrf3tT7szOzv3Qn/sFbP8PDruDcHw4+v9fEJ21Hs/v+XnLpu/5ObPjA96gI3d0s9Xnufn8s6phmDsjUGOfKK2Wfv48bhgeNRG7pTjMqPbxx7vDv11muhv+5d+POvNff0bBG3ifPcFebDv1VHb2SOD3Ln2G6/0h04M2sZGj2l0TjRlP+aSpJleW9kngo03BHlXErRedY9FcN1H7Uc13Y/PPtWNh10VtGC07LbI56XL3bGnarKb76YX/H0vD9o/zvD2H7Rzjto7Bq0t1RDUlYaBfj5uTGbU+Lx/v+t2b3Dzo79/k5s/8f1/cvOmi4PXWvVvO2FUL6N2pfnwjgQAAAAAAJAbCwkAAAAAACA3FhIAAAAAAEBuLCQAAAAAAIDcWEgAAAAAAAC5sZAAAAAAAAByYyEBAAAAAADk1rPSE+gurtr39pLHPnHLXm4+RL8vedsd7Y83f9TNf7zvrW6+x8Yz3Hxwj03aPKf3LVzb7OZH3PENN9/p3Jkl7xudZdMgH+rHc/3zTxOz+w9L0pOToubiKTOZvP+/uCNPk99/+EXt4uaLvra7m7s9s6+I+sFHfaOHB/nP/fi2tUGe/bisCeb2jLb0t+08Zi1uDvIlQX6Yk9UFY70e6haM7U6CvuLljo9O77P9+FtvfDczqws2Pfngr/s3uMKP19b3D/bwqJNF/eAbgnwPP/62v/3e565w89M3vzczO0QPuGO/5F6XUuPn/X7zumOqn2tCkHv3zbvuo7zW6oLJvz/RrzVbO1nwvBJd1zrYj5f7cePFwTk0KTvaZN277tBBPd508+t3PMHfd0O9n2vf7GhkcFzmvRxse06Qv1Ve3tt5HXeoP3RGg19zpJP8OHgu0JQg13NONj8Y69X6HtGO/yZ8R4KZ3WBmy8xsXqufDTSzR8zs5cKfW+TeI4CaR10AUIy6AGBDqA1A15Tnow1TJY0r+tn5kh5LKe0s6bHCvwF0H1NFXQDwQVNFXQDwj6aK2gB0OeFCQkrpt/rH91QdIenGwt9vlDS+necFoIpRFwAUoy4A2BBqA9A1lfodCYNTSq8X/t4k5wOxZnaapNMkqbf6lLg7ADWgpLogbd7hEwNQMdQFABuSqzZQF4DqVXbXhpRSkvPtUymlySml0Sml0b1U+hfjAagdbakLYoER6BaoCwA2xKsNH6wLm3XyzAB4Sl1IWGpm20hS4c9l7TclADWKugCgGHUBwIZQG4AaV+pCwn2STi78/WRJ2T11AHQX1AUAxagLADaE2gDUuPA7EszsVkljJQ0ys0ZJF0m6TNLPzezLkhZLOrYjJ1kLevT3ey9vtlF2j9eH3/HfqjXkqt+XNKe8rNfGmdl7n/T7Nl94zc/c/IDeT7t5L/N7lT71rv9xmH9Z8PnM7JwdH3bHHr7Z227+X+Ovd/OJNxzp5uteeMnNa1nt1IXFQb6lH0+K+h8Hmz/ef3t2463Z+/+8fhFs/CNu+uqbQW/x6cHmV1/qhBcGg/1rS/qJH4+q9/OJfvyhTzyfmS16MfMj+i1G3O/nUU/qY+r9fECw+SlXO6Hfy95/Su/4fvG1Uxc2DfKg//a4sX4ePcbLb3LjH3zh+9nhjGDbQd9z9V3r55OCuqFmJwuu+wPPc+OtHvmTmx+pu928QXVuPvHFb2Vmf97Ff9D21mw37/eLVW4+/6AJbq5HX/Zz3exkdcHYymu/2pAkeedw9GvNQicb6g+dEmx6+DA/Pz0Yf0yQ12dHr/Soc4deb1/yt31tsO/T/d9xpGezo3nFzTqKeee2pJ71fj4q2Lz3kEvSECe7wh+61dEfd/M3/i3Y99wgX+3/DiU96mTRY/aOk60Pxv5duJCQUjohI/p07r0A6FKoCwCKURcAbAi1Aeiayv6yRQAAAAAA0H2wkAAAAAAAAHJjIQEAAAAAAOTGQgIAAAAAAMiNhQQAAAAAAJAbCwkAAAAAACC3sP0j8nnl7JFuPqb3Y5nZbr/5F3fscP1fSXN6X4/hO7r5i1/N7qv+wrFBv/fAY+/0dfN//dUENx/x4+VuvslLf8zMfqoPu2N/8th2bj5txF1u/h/bb+7mG7/gxugUUYkL+kaP9uMdvrrAzRfbvW7e76bs3uNPTv2Uv/Mz/Xht1PO6Kch1oZNdHowdG+QD/XhufbB5P1/Ue/fscE3Q615b+/G4c9x42C/8fvCN2+zsb3/IWdlZU6M/FjmtCPLg/BwUDF8T5FNOcuNZp3whM/vP//1ff9v+pqVxvYIbBNd2T6cunB9s+pS1bvzGM9u7+eTRX/e333xlMIHpmcmN0XPFtKzuhS1+8rlT3Pxr5wcF+dH7/VzDnWxZMNa7bxaMrTXvBPmmTrbYH9o01c+HTPDzSX6sJv/87XVM9jn2ZlSUJvXx89Ov83PtEOTZr2WkG/2hwfN5+HIiGB66dkZ2Nn2MO3TA0X9284WXedet9L0e33XzH9nhbu4/V/ULxnp1I//7DHhHAgAAAAAAyI2FBAAAAAAAkBsLCQAAAAAAIDcWEgAAAAAAQG4sJAAAAAAAgNxYSAAAAAAAALmxkAAAAAAAAHKLmqwjJ9vzrZLH9vqj19e2fC/WD3DzBZ/8aWa2Ptj2iYsOdvO3/n2om+/85Cw3XxfsvxwLFw3xbzCiA3eOTjI4yPf044f8ePF+wUkyz883XuM0Xj+l3t/2HUF+zJt+ri39eKyTTZ8QbDs47ufu6+fNweanBfnCS53wZH/s+JP8PCgbry3d1r9B03Q/7zvWCR/1x6rOyTYJxnYn0Qm2qx+PDYafktw4veT/Pxyvo/udFpyf0bUxKagLx5/n507J0h3BvuueCG4Q9KofvaOfDznHz5ucrHGsP/bQqW78atrOHz/XjyX/tZK0xMm8XvKS1OBk0au8WtOrjDwaGzyvXRsMH+/XhW+llW7+gzGbZ2a2s79t99yXJO3lx3V7RxvI1hjk098O8j7BBh4J8v5+PGhMdrbganfoy3acm/dY4/8Wc0iPB9z8RzrIzaWlQe55x8ny1wXekQAAAAAAAHJjIQEAAAAAAOTGQgIAAAAAAMiNhQQAAAAAAJAbCwkAAAAAACA3FhIAAAAAAEButH9sJyO2LqcFR3ls793d/O4x1wRbyG55s/v009yRO395vpvbmmeCfVev7y77mJv3nv6cm3e1pkq1KSpxQdvWiUHbIN3upgNHOG2FJL3do3d2OLze3/WooN2Tfu7H48/w83u88OVg34Er5gQ38NvCSnsEudNK7ZJh/tBv+62kzk6z3Xzi7d/ytx+dc6u9xzVqEVd6G2K0FrSHXBCNNz9+14+9Rn/Sg/7gBX5L5rBH3TEX+vlUJ5vot0qTTgzyoI3h7Oj8Dlpp93ba+00INn3t/m78SffASD+89qJgB8cG+f1O1hCM9doaBudqzVnbgdsOzr8ZwfAR/rHeVq+5eb3TPbXXvf7c1g4K6kbU/vESP97nxMczs22C+/Vc0Ib7n/R7N7/p46e6uWZO9/PlTrvoA4N6+KjXalp6cZNd3HyuRvnbV9AqW15L3aAethPekQAAAAAAAHJjIQEAAAAAAOTGQgIAAAAAAMiNhQQAAAAAAJAbCwkAAAAAACA3FhIAAAAAAEBuLCQAAAAAAIDcoibryGlYn5VuvpG3ZmNRP3jfS2dt4ua79vJ6CEt7/+GkzGynE//PHbveTatbr77vuflfm/3jun7NmvacDjpE0Ed3SH8/b3o72P5xbnpxj1Pc/L91enY4Mtj1PVH/7wOD8VFP9pud7Ixg7H1+PPpwP7/kYD+fGOz+oReysyuCscMOcuPlUc/2BcH2dViQZ/fjDvuYa6GTvRuMxd/18+NB0figofwX/bjeKRsXT3nZH3xbcO14NUeSRq8NhjuvJ4acFew70FQf3ODYIH/Oj9c4zwfX7u+PnbKzGy/VYH/8wlf8fMSOfh7WFY/3mJb3+rP6+K93pR2cbHEwdqkfHx8Mv8J/PXHm4Ov98aOyo4sHvRPsPDi/tcSPg98WD9P9mdlV677hjl0xdaibvzp+O3/nE/xYY8b6+RUN2dncYNs9L3TjB/RnN//OqdELksuD3HvcBwZj26cuhO9IMLMbzGyZmc1r9bN6M1tiZnML/x2Se48Aah51AUAx6gKAYtQFoOvK89GGqZLGbeDnV6WURhX+e6B9pwWgyk0VdQHAB00VdQHAB00VdQHoksKFhJTSbyWt6IS5AKgR1AUAxagLAIpRF4Cuq5wvWzzTzJ4tvGVpi6wbmdlpZjbbzGav5TOaQFfX5rogRd9DAKDGURcAFKMuADWu1IWEayTtpJav/nhd0o+ybphSmpxSGp1SGt1L/pfXAahpJdUFqU9nzQ9A56MuAChGXQC6gJIWElJKS1NK61JK6yVdJ2mf9p0WgFpDXQBQjLoAoBh1AegaSlpIMLNtWv3zSEnzsm4LoHugLgAoRl0AUIy6AHQNQWdQycxulTRW0iAza5R0kaSxZjZKLY0mGyR9pQPnWBPWJ39NZr3WZ4cp6gfv22bwytL3LWm3rbJ74/odUKtbj+F+X+bnD7jBzQ941u9Z3V9/bPOcuorqqgv9nSxovt30QrDtJ/z4/FPdeID8a7OP93nPMf6ue5/if3fVmml+33NNj+77rk4W9LJXgx/PDnojjzsw2P78ID+9Xw7tAAAWIUlEQVQxO1oZ9HMf69eNmx7zH3PVX+nnOj3IvWM7LBjr9ZT2nwfaQ3XVBY/XP1sKz68pewfjn/PjnwXDm719+z3X3bGSpC3ddNgO/rXdONapK3cE15b8a0s6LMgfD/J+QX6ck9W7I8/+sv/R3KXaOth38Fy0ILq2lwR59aquurDQyQYGY1f58bXRvv2PZaxY2tvNB960Jjv8wuBg39cEeXDfZ+zrxt878LuZ2dpBDcG+/V9F154yIxh/UJA3BvmE7GhDvUZaO9OPZyt4rpjyYLCDo4Lce/07NRjbPsKFhJTSCRv48fUdMBcANYK6AKAYdQFAMeoC0HWV07UBAAAAAAB0MywkAAAAAACA3FhIAAAAAAAAubGQAAAAAAAAcmMhAQAAAAAA5MZCAgAAAAAAyC1s/4jqN+DLTm9ZSbN+18vNJ21/f2b28cvPdcd++OrFbt685DU370i73u7Pbek6r+e61PvHUU/hP7ZxRugY3uMY9Yt/Ksj39OPL/Pie/xjv5gO0Mjs890p37JpLzvF3vvJyPw97Zh/uZEHP6hFOr3lJWjA92PeKID/Jj71ntuYt/bF1wa6DvtHx0+oPg3wvJ9s02jnahf/coAHR+H3cdMZI7zGW3nH7zQdzC1/V1btp4xf9XBOd1xv77eiP9V9OSHo8yD8R5HVB7vRsv7beHdkcXLfnfesnwb5vCvJZQb7Uybxe8l2NSfJe00bP+Z7g2gqua40IhgfX5qvazs1/ddJu2eEZwb5XR8dliR9P8uO1451zsHfwOmrNdD/XsiC/K8ij1xPO+XST/1rm5P+9xs1vPCx6YK4O8uik8h7X6PVCdL7nwzsSAAAAAABAbiwkAAAAAACA3FhIAAAAAAAAubGQAAAAAAAAcmMhAQAAAAAA5MZCAgAAAAAAyI2FBAAAAAAAkFvYcRgtegz3+yMfsPmvO2km/6h5yWtufvmBfi/7j9y5KDObd5Lf4/RfP/FJN3/9c36v+nVv+v1dV37h424+5uzs3svfHfyEO3bv2/ym1js9NNPNUS28XrlRiRvqxwP29fOVfnynHeff4A6vf7E/VCclP+97np+vDrY/xsnqgrFRfskOwQ2eCvLgvjd7/ejH+mMnzgj2HfTEDntWB+ec5jhZd+oXX0lBT/XZ5Y3/vH7h5mfpJ066v7/rcG4H+vHUsPCUvGkdE+R3BHnY93y6Hw86OjPa6it/codO+vy/+9u+40o/17ggD865sp7nkE90fnm1WdIlB/l581I3HrXkWTc/Y+h/ZYen+7vWbWf5eWMwPrrB9GHZ2fHBpqeN9fPl/mt5qV+Q+7+HuIb78Y3fOcO/wbS1wQ6ic855jSjJf02wazA2Oq758I4EAAAAAACQGwsJAAAAAAAgNxYSAAAAAABAbiwkAAAAAACA3FhIAAAAAAAAubGQAAAAAAAAcmMhAQAAAAAA5Ebz2ZzWLXzFzW9r2sfNj9zpocxshzF+/+Ie/f3e4eveesvNmxc1uPnTH81eTzrgC37v2YHPrnRzG+T3UH1l0nZu/vwBk9x86brsHqx733auO3anc2e6OWqFd/4PDcb6fZ01IhjeHOSzg+3PcHovO5Ekqc78vCHqa+71JZc0Y4/sbOaYYNuR4M4N39HPm4LNr/bq8SPB4AOD/AdBvm+QRz2tvb7SUc9p5BP15o68HOT+c3bTrh9y81nznfN3RnBtjLnaz4cH/eRHBNf2VC+73R8bHBfJqTmSdLo/t43q/+rm652XK2/Y9v6+5b8GlA4L8qiffEOQe1aUMbbWbCT/uauc+uq/lg6fM1e+HYx/1o+POciNb59xXGY28LIl7tgVjwavhRrv8/PouecS57VO36DmrA6OS1QXbjrcjT914jQ3//VjO2eHBwa1/pLoug7OGZ0Y5M8FufcaM5pb++AdCQAAAAAAIDcWEgAAAAAAQG4sJAAAAAAAgNxYSAAAAAAAALmxkAAAAAAAAHJjIQEAAAAAAORG+8d2suYUv63RlXdm95GbNuJed+zXH9vfzZ+69uNu3ve1qEddtjc+tt7NP3bWIjf/0bYz3HyjYC1r8l/q3HzqFYdmZjvd8KQ7FpAW+/HMF/y8927B9oN2ZxOdVm2DgpZJy6NWVUHLJO0V5E47qebrgrHZbaokSecHx2VcsPlTgnzhHCf0W2zFbd6idk5Ry6Vdg/zBMvaNfKLHKGpTuDDIt/bjBZe68b2fvzA7PD/Y9dlB3ZgYtIVdeI6fe68am4PjMs65X5JGPvgHN/+CvubmF/3lYjdfM2KBk0YtFIcHud9+T2oM8sFlbD9qZ9o5beA6Rw9J/Zw8Oo7esYiu6+gceSrIg9bCM6f6e+95VHZ4SVCzbvJjjYxqXtDK2uuFvTpouTwgeE6esKcbn3niD9180mP/7m//wGuc0P/9S3oiyOuC/M0gj87JqC51vPAdCWa2nZn9xsxeMLPnzezrhZ8PNLNHzOzlwp9bdPx0AVQD6gKAYtQFAMWoC0DXleejDc2SvplS2k3SfpK+ama7qWVd/LGU0s6SHlO8Tg6g66AuAChGXQBQjLoAdFHhQkJK6fWU0pzC31dJmi9pqKQjJN1YuNmNksZ31CQBVBfqAoBi1AUAxagLQNfVpu9IMLM6SR+VNEvS4JTS64WoSRkfTDKz0ySdJkm91afUeQKoUuXWBWnzjp4igE5GXQBQrPy6MLCjpwigDXJ3bTCzvpLulHR2SukD3/KVUkqS0obGpZQmp5RGp5RG99ImZU0WQHVpj7ogFhiBLoW6AKBY+9QF74sWAXS2XAsJZtZLLRf/zSmluwo/Xmpm2xTybSQt65gpAqhG1AUAxagLAIpRF4CuKU/XBpN0vaT5KaXWfYPuk3Ry4e8nS/J7GALoMqgLAIpRFwAUoy4AXZe1vJvIuYHZGEm/k/ScpPWFH1+gls83/VzS9mppxn5sSsltstrfBqZ97dPlzrkm9fxQXWZ2xC/93rMn9w963ZdpI2c9af3fHvKOseeML7v58HOWu3nzktfaczpdwqz0mN5KK6wj99GedcFs2/S3jz+2u6indLk9eBvK3L/X03qYP7RuXz/vHex6QJDPfNrZ9t7+2DW3BxuP+prv7McDgvs+xsmm+c950pwy80jU872hzO1nmayUXqMutIuo5/quQR71DncOzYFnuSO3euRPbr6bXgj27Xv8+XHZodNKXpI0LcjrgvykMq/dIU7danLqnaSW7wf0rApy93RX/JVl7wR5qWqtLtQl6ULnFnVlzDR6jKNtR+OPCvLoMX4iO+p9hj90dLDpCX681Zf9uvLGM9tnh/cE+54a5N7zuSTdFNSFAcHpPcHJJgb71oNBHn0UZ2mQR0XVGx/VHE/+uhB+2WJKaYakrI11z1UBoJujLgAoRl0AUIy6AHRdub9sEQAAAAAAgIUEAAAAAACQGwsJAAAAAAAgNxYSAAAAAABAbiwkAAAAAACA3FhIAAAAAAAAuYXtH9E+mhc1ZGb3jB3pjr36i+Pd/K87+j3ZfzXOb4T62V+dnR1GbZsDu0xZ4+Z1f3jWzaMOqkB5lgT54DK3H/Q113AnC3oAN0S96O8K8qjHsHP1rdnTH3rPcX7u3W1JmhvkC4O83guvDQZvGuTLgtyvx/H2UXnRYxT1e28I8qFBXpcdPXqpO/INO9LNH//2ODcf8v1Fbq4ZTna6P1S63Y97BnVjXNDWvHFvP5/3lhNGRSW67r1t5xHVDbR4T/7zdvQ4edd29BjuGuR7Bfn9QR49MTrW1Pv5jGDbC05y4zdGbO+Pn+1k9f5Q6To/bgjqwoj+ft4U7H7iUie8ORgcnTP7B3kwdz1Rxvhewdj2qTm8IwEAAAAAAOTGQgIAAAAAAMiNhQQAAAAAAJAbCwkAAAAAACA3FhIAAAAAAEBuLCQAAAAAAIDcWEgAAAAAAAC59az0BCCtW+r3vR16WdQX1/e1oI/ph/WHsrbvSR22ZSCPqMdv1C9+VpDXBXnUx3dVdjTE7+usO/y498ij3XxN00B/A1OcLJia+gZX/oKgH/xlwfbnvRDc4PEg93g9paX4aTPqzfxOG+aCyogeo+i6jurO0CBvzo56XugPnRBseo0fNx32oeAGTjYq2LeCfvCRhxqDG8wJ8vlOFj0XRI8pOsdG8h8r59qRVF79XRjk0TkU7XtJGeO/5g+dsKWfR8/p04Lcqwv7BWN7nurnA4Lx014JbrAgyJ91suB1UvD7lbR1kK8I8r2C3Kt50fNU++AdCQAAAAAAIDcWEgAAAAAAQG4sJAAAAAAAgNxYSAAAAAAAALmxkAAAAAAAAHJjIQEAAAAAAOTGQgIAAAAAAMgtaogNADUs6ikd9fAtt7f4DkHePztqutofOuYoN14zcpg/fpAfa/rb2dltffyxjY8GG49E/bT3CPJ+TrYqGBv1XqafPCJRv3iv97fknoPNa/2hU8b6+Yjg/B7hx1ruZA0pGBzVhei6bwjyqF57zwfRcwGqw3r511dUv8v5tWdpkDvP55Li8zM6B73ntRv9oVOP9fN5weuFMX6suV7mvJaQFM697Ofc6LgPdjLvmEvS9CCPngsi3twk/75Fr3/bB+9IAAAAAAAAubGQAAAAAAAAcmMhAQAAAAAA5MZCAgAAAAAAyI2FBAAAAAAAkBsLCQAAAAAAIDcWEgAAAAAAQG5hQ1Uz207S/6ilmWWSNDml9GMzq5d0qqQ3Cje9IKX0QEdNFED1qJ26EPRcD/Oo/3CUR33Rvd7NZ/lDDw02PSrI1wT5yj7Z2dzouO0V5JHouM0vY3zUWzm6b8hSO3WhXOWeI1Gve6+uRL3s5/jxgoFBHt23p5xsRTC23H7wkXJ7tqMjdG5dKOfaLPe6js7v6LrvF+T9nawuGOu91pDUFAyfGOS608mWBWPrgjw6Lg1BHh13r25Erxei14DR+K2DfHCQe6LzOarX+YQLCWo5Ct9MKc0xs36SnjazRwrZVSmlK9plJgBqCXUBQDHqAoBi1AWgiwoXElJKr0t6vfD3VWY2X9LQjp4YgOpFXQBQjLoAoBh1Aei62vQdCWZWJ+mjkmYVfnSmmT1rZjeY2RYZY04zs9lmNnut3i1rsgCqT7l1QXq7k2YKoLNQFwAUoy4AXUvuhQQz66uWD8GcnVJ6S9I1knZSyydxX5f0ow2NSylNTimNTimN7qVN2mHKAKpFe9QFyfksPoCaQ10AUIy6AHQ9uRYSzKyXWi7+m1NKd0lSSmlpSmldSmm9pOsk7dNx0wRQbagLAIpRFwAUoy4AXVO4kGBmJul6SfNTSle2+vk2rW52pKR57T89ANWIugCgGHUBQDHqAtB15enasL+kL0h6zszmFn52gaQTzGyUWlq5NEj6SofMEEA16iZ1IWonFrXPicZ7bQyDVlLTghaL04J2T1H1b37TCacHg6N2T9FxKbeNltf2KBqLMnSTulCuctrSRtfGqiCP2o1F7cq8/Xd0e0fUqCqqC5Vs71tuOz4vbwjGBm1jG4cH473Wk5I/t+h+RS1tI+U+p3svhoJ2uWEe1dPo2ETb99pPds65nqdrwwxJtoGohntAAygHdQFAMeoCgGLUBaDralPXBgAAAAAA0L2xkAAAAAAAAHJjIQEAAAAAAOTGQgIAAAAAAMiNhQQAAAAAAJAbCwkAAAAAACC3sP0jACDLO2WO9/onR72V55S366i9cVUrpz9yJfuIAx0tqhvl9mwHUHvml5lXs3Kf073xS8rcdrmeq/D+Y7wjAQAAAAAA5MZCAgAAAAAAyI2FBAAAAAAAkBsLCQAAAAAAIDcWEgAAAAAAQG4sJAAAAAAAgNxYSAAAAAAAALlZSqnzdmb2hqTFrX40SNLyTptA2zC30jC30rTn3HZIKW3VTtvqcNSFdsPcStNd5kZd6DjMrTTMrTTUhb/rLo9Te2Nupekuc8tdFzp1IeEfdm42O6U0umITcDC30jC30lTz3DpbNR8L5lYa5laaap5bZ6vmY8HcSsPcSlPNc+ts1XwsmFtpmFtpKjU3PtoAAAAAAAByYyEBAAAAAADkVumFhMkV3r+HuZWGuZWmmufW2ar5WDC30jC30lTz3DpbNR8L5lYa5laaap5bZ6vmY8HcSsPcSlORuVX0OxIAAAAAAEBtqfQ7EgAAAAAAQA1hIQEAAAAAAORWkYUEMxtnZi+a2UIzO78Sc8hiZg1m9pyZzTWz2VUwnxvMbJmZzWv1s4Fm9oiZvVz4c4sqmlu9mS0pHL+5ZnZIBea1nZn9xsxeMLPnzezrhZ9X/Lg5c6v4cas06kKb5kNdaPu8qAs1iLrQpvlQF9o+L+pCDarmuiBVV22gLpQ0L+pC3vl09nckmFkPSS9JOkhSo6Q/SDohpfRCp04kg5k1SBqdUlpe6blIkpkdIGm1pP9JKY0s/OyHklaklC4rFNAtUkrnVcnc6iWtTild0dnzaTWvbSRtk1KaY2b9JD0tabykCarwcXPmdqwqfNwqibrQNtSFkuZFXagx1IW2oS6UNC/qQo2p9rogVVdtoC6UNC/qQk6VeEfCPpIWppQWpZTek3SbpCMqMI+akFL6raQVRT8+QtKNhb/fqJYTqNNlzK3iUkqvp5TmFP6+StJ8SUNVBcfNmVt3R11oA+pC21EXahJ1oQ2oC21HXahJ1IU2oC60HXUhv0osJAyV9GqrfzequgpjkvSwmT1tZqdVejIZBqeUXi/8vUnS4EpOZgPONLNnC29Zqsjbpd5nZnWSPipplqrsuBXNTaqi41YB1IXyVdX5vQFVc35TF2oGdaF8VXV+b0DVnN/UhZpR7XVBqv7aUFXn9wZUzflNXfDxZYv/aExKaS9JB0v6auFtN1UrtXw2pZp6eF4jaSdJoyS9LulHlZqImfWVdKeks1NKb7XOKn3cNjC3qjlu2CDqQnmq5vymLqAdURfKUzXnN3UB7axmakOlz+8NqJrzm7oQq8RCwhJJ27X697DCz6pCSmlJ4c9lku5Wy1uoqs3Swmdk3v+szLIKz+dvUkpLU0rrUkrrJV2nCh0/M+ullgvs5pTSXYUfV8Vx29DcquW4VRB1oXxVcX5vSLWc39SFmkNdKF9VnN8bUi3nN3Wh5lR1XZBqojZUxfm9IdVyflMX8qnEQsIfJO1sZjua2caSjpd0XwXm8Q/MbLPCF1fIzDaT9BlJ8/xRFXGfpJMLfz9Z0r0VnMsHvH+BFRypChw/MzNJ10uan1K6slVU8eOWNbdqOG4VRl0oX8XP7yzVcH5TF2oSdaF8FT+/s1TD+U1dqElVWxekmqkNFT+/s1TD+U1daMN8Uid3bZAka2lJMVFSD0k3pJQu7fRJbICZfUgtK4eS1FPSLZWem5ndKmmspEGSlkq6SNI9kn4uaXtJiyUdm1Lq9C8ryZjbWLW8rSZJapD0lVafJ+qseY2R9DtJz0laX/jxBWr5DFFFj5sztxNU4eNWadSF/KgLJc2LulCDqAv5URdKmhd1oQZVa12Qqq82UBdKmhd1Ie98KrGQAAAAAAAAahNftggAAAAAAHJjIQEAAAAAAOTGQgIAAAAAAMiNhQQAAAAAAJAbCwkAAAAAACA3FhIAAAAAAEBuLCQAAAAAAIDc/j9W1MpGNvjxWwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1296x432 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# This corresponds to the Dense linear layer.\n",
    "for class_idx in np.arange(10):    \n",
    "    indices = np.where(y_test[:, class_idx] == 1.)[0]\n",
    "    idx = indices[0]\n",
    "\n",
    "    f, ax = plt.subplots(1, 4)\n",
    "    ax[0].imshow(x_test[idx][..., 0])\n",
    "    \n",
    "    for i, modifier in enumerate([None, 'guided', 'relu']):\n",
    "        grads = visualize_saliency(model, layer_idx, filter_indices=class_idx, \n",
    "                                   seed_input=x_test[idx], backprop_modifier=modifier)\n",
    "        if modifier is None:\n",
    "            modifier = 'vanilla'\n",
    "        ax[i+1].set_title(modifier)    \n",
    "        ax[i+1].imshow(grads, cmap='jet')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Guided saliency seems to give the best results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "## grad-CAM - vanilla, guided, rectified\n",
    "\n",
    "These should contain more detail since they use Conv or Pooling features that contain more spatial detail which is lost in Dense layers. The only additional detail compared to saliency is the penultimate_layer_idx. This specifies the pre-layer whose gradients should be used. See this paper for technical details: https://arxiv.org/pdf/1610.02391v1.pdf\n",
    "\n",
    "By default, if penultimate_layer_idx is not defined, it searches for the nearest pre layer. For our architecture, that would be the MaxPooling2D layer after all the Conv layers. Lets look at all the visualizations like before.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABBIAAAEJCAYAAAApcQQ5AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4wLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvqOYd8AAAIABJREFUeJzt3XmcXGWZ9//vRWcjO9k6ZIGwRMJmIvQACgpCRhCVRVmfHxocEZyRnzLiDA4z88D4OCPOIMI8OiyiBEVABUFkoggoKMGgCQYJJECEjknIHhOykK1zP390MTZln+s6Xae7q6r783698kqnv3Wfc3f1OVedulNVl6WUBAAAAAAAkMce1Z4AAAAAAACoHywkAAAAAACA3FhIAAAAAAAAubGQAAAAAAAAcmMhAQAAAAAA5MZCAgAAAAAAyI2FBABAxczsJjP759LXJ5jZsjZZs5lNr97sAHSFtud9Rp7M7MAKt13xWAC1x8yuNrM7qj0PdL4+1Z4AAKB+pZQ+Ue05AOhenPcAAF6RAAAAAADoMDPjP6Z7KRYSAKAXMLMrzOyesu/dYGb/aWYfNbOFZrbJzF42s0va3OYEM1tmZpeb2WozW2FmH22TzzSzL+TY/1Fm9isz21DaxlfNrF/n/pQAOsLMjjCz35bO/e+b2XfN7AtmdqGZPVF22/95y0H5eW9mf1c6r181s78qG9ffzK41sz+Y2arS2yL2zDMWQG0qvXXxCjP7naQtZraPmd1rZmvM7BUz+1TGuDe9BbLNtngbZB1iIQEAeoe7JZ1qZkMkycwaJJ0j6U5JqyW9X9JQSR+V9BUzO6LN2LGShkkaL+ljkr5mZnt1cP8tkv5W0ihJb5d0kqS/qfinAVBIaSHvPkkzJY2QdJekMyvYzimSPivpLyVNllT+hOAaSW+RNE3SgWqtI/8751gAtet8Se9Ta/24T9Izaj2/T5J0mZmdXMW5oRuwkAAAvUBKaYmkp/WnJwonStqaUpqTUvrvlNLvU6vHJf1U0jvbDN8p6fMppZ0ppVmSNks6qIP7n1fa166UUrOkmyUdX/DHAlC5Y9T6WVn/WTq3fyDp1xVs5xxJt6WUFqSUtki6+o3AzEzSxZL+NqW0PqW0SdK/STovGgug5v1nSmmppMMkjU4pfT6ltCOl9LKkr+tP5zl6KN7TAgC9x51q/R+Eb0n6X6V/y8zeK+kqtf6v4R6SBkp6ts24dSmlXW3+vVXS4I7s2MzeIuk6SU2l7feRNK+inwJAZxgnaXlKKbX53tIKt9P2XF7S5uvRaj3f57WuKUiSTFJDjrEAatsb9WJfSePMbEObrEHSL7t/SuhOvCIBAHqP70s6wcwmqPWVCXeaWX9J90q6VlJjSmm4pFlqvdjvTDdKWiRpckppqKQru2AfAPJbIWm8tXmGL2li6e8tal0AkCSZ2dhgOxPb/HufNl+vlfS6pENTSsNLf4allAbnGAugtr2xCLlU0ittzvHhKaUhKaVT2xlTXlsa1LrgiDrEQgIA9BIppTWSHpN0m1of9BdK6iepv6Q1knaVXp3wni7Y/RBJr0nabGZTJP11F+wDQH6/Uutnl1xqZn3M7HRJR5WyZyQdambTzGyA/LccfE/ShWZ2iJkNVOurmyRJKaXdan2J81fMbIwkmdn4Nu+dzhwLoG78WtKm0ocv7mlmDWZ2mJn9RTu3fVHSADN7n5n1lfRPar0GQR1iIQEAepc71fqBZndKUuk9y59S6wX9H9X6locHumC/ny1te5Nan1h8twv2ASCnlNIOSR9U6weobpB0gaQHJW1PKb0o6fOSHpH0kqQnnO38WNL1kn4maXHp77auKH1/jpm9VtrmQTnHAqhxKaUWtX5g8zRJr6j1lUi3qvVDmstvu1GtH7R8q6Tlan2FwrLy26E+2JvfGgcAAIDeyMyeknRTSum2as8FAFDbeEUCAABAL2Rmx5vZ2NJbG2ZIequkn1R7XgCA2kfXBgAAgN7pILW+rWmQpJclnZVSWlHdKQEA6gFvbQAAAAAAALnx1gYAAAAAAJBbt761oZ/1TwM0qDt3CfQ627RFO9J2i29ZG8xGJWlStadRmehebiiw7d0Fc+BNmpXSWupCdyhaF7wXirZ0cC6Aqx7rwr5V2nv0Cu7obgzy6L92vd2HLy6PblD0Z6umaG688r7jluSuC4UWEszsFEk3qPVh8daU0jXe7QdokI62k4rsEkDgqfRoVfff0brQ+mRhbpfPq30FHzyjzsfDOzKXMpsL5sCbNFV179SFNgYH+S4n2xCMDdXzEwZ0vnqrC/tKmtP1E2vXziDvWywfGAz36sK2YGw496I/WzVFT2W9Ow7tOyb3LSt+a4OZNUj6mqT3SjpE0vlmdkil2wNQ/6gLAMpRFwCUoy4A9a/IZyQcJWlxSunllNIOSXdLOr1zpgWgTlEXAJSjLgAoR10A6lyRhYTxkpa2+fey0vfexMwuNrO5ZjZ3p7YX2B2AOtDhuiCt6bbJAagK6gKAchXUhbXdNjkAsS7v2pBSuiWl1JRSauobvnEQQG/Qti5Io6s9HQA1gLoAoNyb68Koak8HQBtFFhKWS5rY5t8TSt8D0HtRFwCUoy4AKEddAOpckYWE30iabGb7mVk/SedJeqBzpgWgTlEXAJSjLgAoR10A6lzF7R9TSrvM7FJJD6m1bcs3U0rPddrMANSd2qsLUauz14M86Mc0LRh+XJB7beAWB2PnB3k0vlC7qOihI2ghF7W/i9pmFun2FLXNDNvrRcdU0VZT3g9Xn635el1dOCwYHtUF7xBYFIyN6sKy6Bgq0iauYPu7onUhUqStZlgvqQsd1TV1oUhX+01BHtWFMX4cddqM6oLniSCfG52b64O8SHvIPYOxQ/x4QMHriajueOd+4c6RRR9rikwgOhc6p6VnkTNOKaVZkmZ1ykwA9AjUBQDlqAsAylEXgPrW5R+2CAAAAAAAeg4WEgAAAAAAQG4sJAAAAAAAgNxYSAAAAAAAALmxkAAAAAAAAHJjIQEAAAAAAORWqP0jANS2qC/0siA/xI8/4cfvmfFDN99br2ZmD+lkd+zKG/b3d36PH4f95jd7Dw9Rb+OgP/GkYPi0IJ8Q5N7Um4Oxc4J8cdSz/bUgj3o3Bz210Qm6uC5c5MfHXfKwmzdqVWb2wLrT3LE7rxnq7/x+P9bi6Pj0+p5XuS6MCnJves3B2KheRodM4bqwZ4GxvUlUnz3R76g5yBv9+LN+fPq5d7l5i/PA9uAPz/Y3HlyraGWQa2fB3BPUrCnB8KguRM90vXN3cYGxkrQtyMOaGd2v1T/3eUUCAAAAAADIjYUEAAAAAACQGwsJAAAAAAAgNxYSAAAAAABAbiwkAAAAAACA3FhIAAAAAAAAudH+EUB9c7sUeq3KJGl5sG2/zdvoGX9w8xuDnkv7rc/uufQfIy51x/7Dede4+e4+g9xcTX6suU4brTlBy6Goo1HkwCA/y4+HHZh9v25cPNYffFOw75lBvnmknw8Oxg9wsg3B2KL3e09Sxbow4iJ//E1BXZjYsjQzu2bk59yxX7zw826u4X4ctjub77Rqi1okRqIr0qgunOLHe0zakpntXhzUy5nBvu8O2g5SF+pA0faPx7np/uc+5+bfapnh5psaslsDv/v0t7hjX7p2qptrQ9C6Mmq57LU5DFujBqK6ELWHjK51vPMjagd9d5Avih5rIgXqxuZo20Vadv4Jr0gAAAAAAAC5sZAAAAAAAAByYyEBAAAAAADkxkICAAAAAADIjYUEAAAAAACQGwsJAAAAAAAgNxYSAAAAAABAblF3TgCorqhKuf3ioz65QY/fUX78Lv3CzfefudLfwKvZ0duu9JuyH9DoN3xffZHfF3pI/01uvuzxydmh38pemhPc7yv7+nnQU33qoX5z5zN1X2a26lD/frnxos/4O1/kx1ob5IcFuXc8PxaMbQ7ynqSadWG4H7+zwa8Lh971sr8Bpy684/LZ7tDJhz7j5uum+EVtSINfF5Y87jRtL1oXlgV1YYAfH3z0025+hu7PzFY3jnHHfmPwpf7Ol/mxNgS5c7eGHgvy5gLbRhu7/Dh43HpncL0w9Kv++TF0n/WZ2cQzl7pjXxo11c11nh/rgiD3LnWuCcYueM3Plw318+B+3/+k59z8cP0uM5t3cpM7dlmzc50kSYuCxxKN8OPpwfCxTvZYMDaqWTnxigQAAAAAAJAbCwkAAAAAACA3FhIAAAAAAEBuLCQAAAAAAIDcWEgAAAAAAAC5sZAAAAAAAAByYyEBAAAAAADkFnViRg1oefcRbn7pLd9z8xsnH9iZ06kpm849JjMbPt9v6N7ywuLOng66QtC62c+D/sM62o/P8OOT9ZB/A7/luzQsO9oQNKvfof5u/o7+T7r5dD3i5g8df3Jm9tOm092xmhP0hV470s/9Vvfh/X7lxn/PzDYN85vRvzp1bzf/4fvPd/OwX/xxQb7ZyaKS1RzkPUmhurBnMDioC+/34+l61L/B48Hunb7o0XnfRy1u/u6Gn7v5SUFdmHX8+zKzB4852x1buC54PdMlfUA/cvN/2fh/MrOoLmyaOsTNv3fWDDcP60L2pUwr73KGutBJouuFY/34LD9+tx7zb7Ag2P1+2dEKjfPHbgu2fYoff+ikO9z8FU3KzJ5+JHjQW/C6n28Ifi9BXThND7j5Rbo1M3tS73DHXnzet/2dzyxW03RekHvjm4Oxy4I8p0ILCWbWLGmTpBZJu1JKTZ0xKQD1i7oAoBx1AUA56gJQ3zrjFQnvTin5//ULoLehLgAoR10AUI66ANQpPiMBAAAAAADkVnQhIUn6qZnNM7OL27uBmV1sZnPNbO5ObS+4OwB1oEN1QVrTzdMDUAXUBQDlOlgXeOECUEuKvrXhuJTScjMbI+lhM1uUUvpF2xuklG6RdIskDbURqeD+ANS+DtUFsybqAtDzURcAlOtgXTiSugDUkEKvSEgpLS/9vVrSfZKO6oxJAahf1AUA5agLAMpRF4D6VvFCgpkNMrMhb3wt6T2Km5cA6MGoCwDKURcAlKMuAPWvyFsbGiXdZ2ZvbOfOlNJPOmVWeJMlJ/t9o0c0eI3He7aV79uRme38sL9ONiLoBY6KdEFd2FkgD/oPn+HnE258yc0/pHv87Ue9m0/Njh7RdHfokhemuPm0g37r55rv5qvUmJn9dOzp7liprx9HvZOn+3fcR3Wbv/crsrMRw4Jtf2mmm8+64H1uvnOZf0ztP/U5N1+6bmL2tu+I+pzXrBqrC0Fv7+CxYcSty938TN3nb6DFj/Wu7CiqCwuXHO7m0/b1z/u3BXXhVadf/YNjz3bHdnVd+Ii+5e/9s9nZiEH+ti+5/mY3//nH3u3ma5aPcfPDxj/r5os3HpCZbbtjhDu2hnVBXVgX5K872QR/6Bl+vO9ti9z8VM3yN5B9akmSlp+W/Xte+NAR/mD/tJaG+/GRmhcM35CZPT32uGDnwVPR4Ncy7P0r3fwS+efulC8vycwOPelld+ytJ1/k5r8+5Xg3j362wef5nxXU0Cf7wWTjzKigdo6KFxJSSi9LmtqJcwFQ56gLAMpRFwCUoy4A9Y/2jwAAAAAAIDcWEgAAAAAAQG4sJAAAAAAAgNxYSAAAAAAAALmxkAAAAAAAAHJjIQEAAAAAAORWcftHdB7r28/NTzwxagDbew357YDM7JyPPe6O/flwv4Fry4aNFc0Jne21IHf6QjcNdEcOmLnezb+uj7v5iPv83uNq8uPnztw/M3tAH/AHB2Vhw0F7uflW7enmmzTE2bi/bwXbVtBW+vzxd7r5lLuy+z5L0itO2+hJQcv10z/9Uzc/bdwDbr505EQ3P0C/d/OGkbsys5cG0yntTwrUhWl+Xdjj1i1uflPDJ9x8/M/8uqJj/fg3px2Wmd2js/zBc/q68ap9x7j5hqChvJt3cV04Z/x33fzQu/ye7y/dmp2NH+Tv+8RP/MrNz5xyn5s3j5/k5hO11M1bhjVkZgsHB0WtV4nqwqbsaJp/TTj6vj+4+Tf1V/742ZvdXBf68T/qC9nhV/2xWhnkgRZlH39SF18vTPfjD/f/lptPmelfL+gGJ/NPS517vV+Tfv2J4/0NjPLjdwx60s3XamRm9vTwsf7GOwmvSAAAAAAAALmxkAAAAAAAAHJjIQEAAAAAAOTGQgIAAAAAAMiNhQQAAAAAAJAbCwkAAAAAACA3FhIAAAAAAEBufao9AUibzjzCzf9z/P9184Pvv9TNJ+upDs+pXmzfK2Vmn9prkTv2sSEH+xvfsLGSKaHT7Qpyp4f2ef7I/xj2925+yl2P+xsIWlav/PQwN79Gn8se+8z+/sYLtgiepyY3f0gnZ4dPRFv3e9lHv5e/0df8GwTxI0527Hp/7CFBuTz1zFluvlgHunl/bXfz3+uA7JBH7A6ovC58sTH7vJSks2c96G8geOh4+UL/5L1Wn83M1szbx9940Jd8h/q7+S/0Ljf/kU7LDh/z9x3WhbP8+G/0X/4NbvXjx5zsiC3+2CODmveBKQ+4+Ys6yN9A4Hkdkh1SF9qIrhcas6ML/JHX6TNufuIdv/I3cJgfX7Hf1W5++zf+Ojt8zN+2JgT5cD9+Voe7+awtp2aH3gOypKJ14VPynyNFdeGlpdnZ5HX+2MP1rJvvf/pzbj5Emwpt/7ealh12U13gFQkAAAAAACA3FhIAAAAAAEBuLCQAAAAAAIDcWEgAAAAAAAC5sZAAAAAAAAByYyEBAAAAAADkRtOYbpKOzW7R8bUv3eCOveO1fd18yj+96OYtblrf3v6eBdWeArqc08ZNkiZltw4acdlyd+ili77hbztoMyi/e6Q+r//t5nf8/qLscHB2a1NJOmzqXDeP2go9oA+4+cs3HJodzvHnpuHmxlM/NMfNj/v+027+0mx/906DLx2ynz9W2/z4HXrSzcdolZsv1UQ336WG7DCYW+8y1I+dujDsspXu0L9/5av+tv2HbOlyP75Wf+fm3/v9R7LD4f65d/CRv3XzqC78KKgLS/51SnY4Z6c7VoP9Nm8Hn+uf98c/8Gs3X/Yzf/deXThynD826Nqqo+XPbbg2uHmz/MLU4tWFqONhr+L9liVNyK4bEy5/yR16wVP3+tu+y4+X/PdoN//3H17lb8C5XAjbQV/mxwOm+H2RH2mZ7uabr3Z+tsXL/J338XtTHnfSw24++Wv+9tf5lxua7J16TldLSdqqgW5+tPx+0lFdGCm//6Tbzrebrhd4RQIAAAAAAMiNhQQAAAAAAJAbCwkAAAAAACA3FhIAAAAAAEBuLCQAAAAAAIDcWEgAAAAAAAC5sZAAAAAAAABy61PtCfQWf/yHrZnZhD5+E+DP/P/vc/O+f5xX0ZzqQZ+9/ea4t+3zk8xsZ2KdrEcY4Pce11nZ0UUNt/pjv+zHy2b7+YSg9/isqAnxfMuMpn7Ib358lu5x8xd0kJs/+PjZbq5rvXC5P/YMvy/0Z/2NS//ux6v8WKcd7YSXBoOP8eMxwd6jvtIvBr+XpdonO/RbTvcuUV04Izu6qH9QF77kx6t+6ueN/+rnj+gk/waLs+vCUSc/7g49Q/e7+bM63M1//NAH3Vxf9cKgX/wZXsP24nUhqEo6rckJLwoGH+nHo1dvdvNNY1518+j38gdNzA7XukN7lz5D/fyC7OgS3eyPdY99SQv9eL7e5t8gOPyll7KjCya7I6de7l9PtKjBzRd85y/cXDd54Xp/7AX+9cI/KiioQb0OOZv/wfnvdYc+Je9iQ5qopW4+Mjh5N2gvN1+sA7LDbqoL4TMtM/umma02swVtvjfCzB42s5dKf/s/KYAehboAoBx1AUB7qA1Az5Tnv2xnSjql7Hufk/RoSmmypEdL/wbQe8wUdQHAm80UdQHAn5spagPQ44QLCSmlX+jPX5dyuqTbS1/fLvdFhAB6GuoCgHLUBQDtoTYAPVOlbyJvTCmtKH29UlJj1g3N7GIzm2tmc3dqe4W7A1AHKqoL0prumR2AaqAuAGhPrtrw5rrAB0IAtaTwp9GllJKk5OS3pJSaUkpNfdW/6O4A1IGO1AVpdDfODEC1UBcAtMerDW+uC6O6eWYAPJUuJKwys70lqfT36s6bEoA6RV0AUI66AKA91AagzlW6kPCApBmlr2dI+mHnTAdAHaMuAChHXQDQHmoDUOf6RDcws7sknSBplJktk3SVpGskfc/MPiZpiaRzunKS9WDdx9/u5t8//D8ys29tfKs7tu8j8yqaU0/w/Oed3smSdqaWzGxG83R3bMtq3oNbqW6tCwcG+YXZ0Uf0LX/sLD9eHOza734s9Ys+F6ZpZ2b0AT3gDp2uR9w86kuue/xYy17Lzvr4P/ke12xx8wtm3+vmP57rxjo2epfct7OjGyfPyA4lNQb/KXak/MntUD83/13we1nz6D7Z4TJ3aNXVS134cMG6ELSLV2Nw2g/U624+4JjsvusfCk7c6XrUzedrmpvrfj/WynXZWZ/93KF9r3dqiqS/mn2Xmz882411dFQXbsuO7jjsQ+7QcXrVzZta/LoQ9YOfpyY3X/no/tlhjdcFqRtrw5Qgv3RbZhTWheD4ix7ut2pP/wbDg+1PmpwZjf2Pl92hl+gmN/+uzvP3/RM/1uZV2dlg/znO2Nv8uZ8y83E3n7nUjXXh8X5+w/kXZ2aXPXOzO3bsVH/uH9VMN++j7OcwUnwdt/Ihpy40u0M7TbiQkFI6PyM6qZPnAqBOUBcAlKMuAGgPtQHomQp/2CIAAAAAAOg9WEgAAAAAAAC5sZAAAAAAAAByYyEBAAAAAADkxkICAAAAAADIjYUEAAAAAACQW9j+EfnsccZaNx/XJ7vB8TfuPMUdO0FPVjSnetBw6EFufsdJfg/X7WlnZvaH697ijh20/Sk3R42Y5MdHHPpEZnboAr/H7zK/NXjU9Vna4scH6UU377/vjsxsv4JNgBfrAP8G2XdbidMX+pih7shzG7/rb/qzfhydme891s+/MPnyzOyfl3zRHXvOvne6+UT5TauXaqKb/1LvcnPd72TN/tBeZZIfHzE1+wCfuuAld+yqoC95eOG00Y8P0fNuPnDY1swsqgstanDzsC7M8WNpfXZ0zEh35Lkjg7rgt7rXbD/WXzb5+XWH/XVmdtWWf3HHnjvIn3tjg1MvFdeFRzTdzXWPkzX7Q3uVA/34PeMfysz2nb3GH7wr2PcUP96h7OcBkqRjgu07x/d0PeoOjR631sk/dzXXj6V12dFxje7I/0/+Y65u9eNmP5bO9uPL5jnPM4KasnLm/v4NZvjx9uCYeLLlHf4G7nayxf7QzsIrEgAAAAAAQG4sJAAAAAAAgNxYSAAAAAAAALmxkAAAAAAAAHJjIQEAAAAAAOTGQgIAAAAAAMiNhQQAAAAAAJBb2A4ZrRpGj3bzf3rLf1e87Qn/9mTFY+vdor8Z7uZN/Vvc/Gt/PCQzG3Rv1I0edWGUHx+o32eHf/DHjhgU5H4sBeMHKrsfvCRtUPbx/4A+4I6N+o4//fhxbl7V3uP+aa2+0fjD/fg+nZEdzvS3/vxV2TVFkrZqoJu/qnFu/vLsQ91cDzrZBn9or1KkLrzqjx0SnNcHb/NzDQi2r01u7tWF7+rcYOe+px8tWhd2Zkeb/ZFhr/rgfh/qx9I0P35Ap2Vmm2f613gvfPIgN4/qwlJNdPMlj09xc78uJH+sLMh7kLF+fIiezw43BtsOji+9z4+fl//Yol3B9tdmR7NaTnWHbmoY7OYLZv+Fv+9mP5ZX04Kx4f3S5MfTZ/u5zg7yT3vhd/2xK/16PFx/dPNNGuLm638y3t///U62zb/+zHGllQuvSAAAAAAAALmxkAAAAAAAAHJjIQEAAAAAAOTGQgIAAAAAAMiNhQQAAAAAAJAbCwkAAAAAACA32j/mZAP9fk4nD/T7xhz1m49kZmO1sKI59QSjJq0vNP47r2T3hRmlFwttG/Vhu/plhwf7YwdmdwNrFbQjW9k0zM2bNcnNl907OTtbm51JilsBPhHkYSvBPbOjRf7IWdv9VlS6yI8/8T0/17F+vM7rDRg86g0P7pj+2u7ma6MWd9Hvpfk1J3w9GNwY5L2HWxeCU2vgmUEe7HvLsf7/0UStABc+dER2Nj87kySt9GPND/KwLjgtw4Jt/3jeB/0bXOHHf/t9P4/rgnNuFqwLUavfsPXlHD/WMupCZ3DbdAZtBnWZHy86cV83/1HQ0jk8Bh7JjtbP99sE/rDpfH/bzcG+o5a33jG46HfuyB/f7NeFRdf79+txu5a4+cNjgpa3bs2c5I8NWoJO1FI3n6+3+RuY68fasMwJo7owKcjz4RUJAAAAAAAgNxYSAAAAAABAbiwkAAAAAACA3FhIAAAAAAAAubGQAAAAAAAAcmMhAQAAAAAA5MZCAgAAAAAAyC3onIs37F7v9xD+P2v83s7/64DsZqC/2PsAd+yuFVFj6NrVZ1+/X/bsaXcHW/DXul6f4/SL14vBtlEX1vrxUzo6M7tjvw+5Y0+987/dfIOGu/nN+oSb//qZ491cdziZ0zNakrQ5yAsbkR0Fv5ONN4118xs+fbGbf3r2LW7+zNGT3bxBLdnh+92hagoaN+8Z9ItfHfVsX+THfkPvPYOxvahffHAMPqljM7Pb9zvHHXvqt2e5+dbg9/BtfcTNf7z8VDfXrU52jz9U8vqKS+55LUkaWGD8K/7Q6/dz47/99r+5+VdmX+nmz03Z39+/5/3b3LhoXVirkf7+F/sxdSGn4HL55zohM7thjP+41O/E7W7+I53m5gu/4z9P0BN+rF2POWN3Bts+ONj4hCCPeMfg0/7Qz73Vjc+7xH+ecN1XP+Pmt+oif//eZd6k7OtLSdr3ZP8BvVGr3Tx6LHFP+/AGUV3oHOErEszsm2a22swWtPne1Wa23Mzml/4Ej4oAehLqAoBy1AUA5agLQM+V560NMyWd0s73v5JSmlb64y/fA+hpZoq6AODNZoq6AODNZoq6APRI4UJCSukXktZ3w1wA1AnqAoBy1AUA5agLQM9V5MMWLzWz35VesrRX1o3M7GIzm2tmc3fKf38RgLrX4bogrenO+QHoftQFAOUqqAvBh6MA6FaVLiTcKOkASdMkrZD05awbppRuSSk1pZSa+qp/hbsDUAcqqgvS6O6aH4D9KqtqAAAViUlEQVTuR10AUK7CuuB9wDaA7lbRQkJKaVVKqSWltFvS1yUd1bnTAlBvqAsAylEXAJSjLgA9Q0ULCWa2d5t/nilpQdZtAfQO1AUA5agLAMpRF4CeoU90AzO7S9IJkkaZ2TJJV0k6wcymSUpqbWJ5SRfOsSbs3rTJzX+6fIqb/3LanZnZigeH+WNvfrubd6UNhyQ3Hzxpo5sfM67ZzXdrd0en9CbmTw9dpFvrQrMfr/xadu/wGWfd7o4d1/iqm6/d6Pf+3vZY0JM96vk+x8k2+33J48+uGlowd/rJR48cD/rxZVNudvObT/YPnahnu+f9U7/v5u/UL928JfjhX9U4fwIb/NgXPmRXVbfWhcV+vObL+2RmF551hzt27L5L3XzzliF+/kTwtoz7/djvJ78qGBzlfYPcOe8lSV5NDGqKV+8kXX/7P7j5fTPOdPPG4GdvUEtmdsH4b7tji9aFFdSFE9QddSFYjnjpy1Mzs8tO8B+XtDnYd3B8R4+L2hxd0O7pZDuDscsLbFuSgmsdjXey4PgMjv1n/u4YNz/poif9DQSPFZrgZGf4Q0/WQ27eL/hswNVq9HdQqC5Etb5zhNUnpXR+O9/+RhfMBUCdoC4AKEddAFCOugD0XEW6NgAAAAAAgF6GhQQAAAAAAJAbCwkAAAAAACA3FhIAAAAAAEBuLCQAAAAAAIDcWEgAAAAAAAC51Xbz2Tqy178McPPjr26v+02r+w6b6Y790lW/qmRKnWLu9gY3bwnWopr67Qj2YB2c0Zvt83+fzcx2F9oyakZzkN+UHe2+Y5A7dNmGyf62Vwb7jvpK7wpyV9TPPer7XEWPRLnfL3vhgCP88Zf58cFffDozO0v3uGOP1Fw3b9Z+br5UE91c2/xYGuJk0THRizQHuVMXNNPvr71y8/7+tqPe3l1aF4K+4xpTZOPF9An6lkf93C/c6sZLPjHFzz/n52+/6meZ2bm62x3b1OLXhRcaDnLzsC5Exwx1IZ/oGPuCk10bjI1+R+Hv0H/ciwvD4QXGRqKng9H2x1eYSeH9Ev1erg+eR0wLxl+QHR08I/taQpKO1lNuvtk9bzvjesG7Duyep/i8IgEAAAAAAOTGQgIAAAAAAMiNhQQAAAAAAJAbCwkAAAAAACA3FhIAAAAAAEBuLCQAAAAAAIDcWEgAAAAAAAC5dU+Tyd7g18+68bBTs7MPn/Apd+yGyf0rmVGnGPn1XxUav/wHh7r5vKNnFtr+7k2bCo1HHYh6My/wQr8vubQ8yNcHudfDV4r7J49wsqA3cpgX5fR23rU6GOv3XlbQe1nbJvn5/AvdeKKWZmZN8vvBD5FfU6K+z83bJ7l53Gvc6wnPQ/b/iPprL/Z6k0fn9aogjx53orrQGORjnCw47/sEedF2825diO6X4LzXbD/eFtTT+R93Y78uzHPHDtm4082XjvDrwuKWA9087hdPXcgneMzf4B2jrwXbfj3Io9/D0CCP6oJ3DHQ1//j375uoLiwM8uB6YldQb+f/tZ9/ITt6p37pDh2pdW7+qsa5eXQ9EV8veMdU99QFXpEAAAAAAAByYyEBAAAAAADkxkICAAAAAADIjYUEAAAAAACQGwsJAAAAAAAgNxYSAAAAAABAbiwkAAAAAACA3Gg+WwMaHvN7pI58rHvm0RVebx7i3+DoYttPx07LzGz2/GIbR53w+sVHRgR51A8+yqO+0UHP96ry+kKvCsZG/biDfvA63o9P8ePD9WxmNlwb3LEbNNzNf68D3Hxj81g3j/vFew/LfaPByCU6b0cGeXReF60bBerCrsqH5uPVhWXB2KguRPX4BD+e7sfTlH1N0Lh+ozt20zD/3Fsc1IX1zX4/+bhfPHWhc3j3Y9HzOvo9ROMj3rVOV19LRE8XvXM7ul7o4roxyY/3mLYlMxunV92xLWpw86Wa6ObLlvt5XBc83VMXeEUCAAAAAADIjYUEAAAAAACQGwsJAAAAAAAgNxYSAAAAAABAbiwkAAAAAACA3FhIAAAAAAAAudH+EV0r6EizR8G1LFo8wj/IBgZjo7ye7QzyoPwPdu6bA9/qj50Q5H6HRekYPz74k37L3CM1NzNrUIs7doP2cvO1UWvAtX4ct39E56AutK8r68Ih/tixQV6wLhzxySfc/Gg9lZlZcF7+cYQ/uXUa5W9gbXAxRF3oJEVaMHZ1C8WoVXXUu7VIb9fovPfaukrh/TrAeVycEjxmDgiuFxb7cfhM9gI/Pryx8nbR29XPzaN20towwM/DX3n1n8aHz+LMbKKZ/dzMnjez58zs06XvjzCzh83spdLf/tUXgB6DugCgHHUBQDnqAtBz5fnv4F2SLk8pHaLW9eBPmtkhkj4n6dGU0mRJj5b+DaB3oC4AKEddAFCOugD0UOFCQkppRUrp6dLXmyQtlDRe0umSbi/d7HZJZ3TVJAHUFuoCgHLUBQDlqAtAz9WhN6ib2SRJb5P0lKTGlNKKUrRSUmPGmIvNbK6Zzd2p7QWmCqAWFa0L0ppumSeA7kNdAFCueF2IPoQGQHfKvZBgZoMl3SvpspTSa22zlFJSxqeIpJRuSSk1pZSa+qp/ockCqC2dURek0d0wUwDdhboAoFzn1IXgQy0BdKtcCwlm1letJ/93Uko/KH17lZntXcr3lrS6a6YIoBZRFwCUoy4AKEddAHqmPF0bTNI3JC1MKV3XJnpA0ozS1zMk/bDzpwegFlEXAJSjLgAoR10Aeq48DSiPlfRhSc+a2fzS966UdI2k75nZxyQtkXRO10wRdS1om7tbu7tnHuhsvaMuRBWySFvnwqKe1C8FebtvR/2Ts7J7Px9222/coR/VbW7eTzvcPOq9PFFL3fytyu4L3aAWd+xWt8+4tIO36HmoC1KV60LUL75+68ImDXHzg/SCm0/Tb7NDvyzodQ108x1BP/lernfUhVBUGKJz13tssmDs60G+MMiDunDB0MzoqK8/7g59jx5y81/qXW7++DOnuLlGbXPjA7U4MxuiTe7YPlHh6AXChYSU0hPKPkJP6tzpAKgH1AUA5agLAMpRF4Ceq0NdGwAAAAAAQO/GQgIAAAAAAMiNhQQAAAAAAJAbCwkAAAAAACA3FhIAAAAAAEBuLCQAAAAAAIDcwvaPQBG7B+wuNH5Ny/ZOmglQgbAffAryqLezY3CQb44ml90bOZfzsvvF/0wnukNHf3Czv+3D/Xjb3/t586B93XyMVmVmA7f4PaUHDvL7bfdTUJN4VO35arouRBuo4bpwcLDvT/vxmjH+nTNiqXPub/G3HZ33/bTD30BUF6gb3SQ8eR3RLyna9s4C+5bcuhFOLdp3wbpwweTM6ImNJ7hD+17hb3rnl77o5qdPvdfNnw0uOAZrU2a2p7a6Y6O8cF2oA7wiAQAAAAAA5MZCAgAAAAAAyI2FBAAAAAAAkBsLCQAAAAAAIDcWEgAAAAAAQG4sJAAAAAAAgNxYSAAAAAAAALn1gA6WqGV3nHKTmy/csdvNz5/pN5TfR092eE5AflE/+KhvdFBi+xToCx32pF4f5Nm9kyVpj2nZjdVH3+z3g593n7/nI8f4+dxBR7j573Wgm0/XI5mZ20teUuOUVW4+UK+7OXoD6kJ7Rt/atXVhzpipbr5UE9381DGzMrNBc/1rkVEt69y8X8N2Nw9FhwxqQPRLis69gnWhyNDw+Irqgv+4N2Ba9vi+t/pbXhfkI//Rz58c8A433/jIWDdf+r4XMrP+2uGOja4HGtTi5j0Br0gAAAAAAAC5sZAAAAAAAAByYyEBAAAAAADkxkICAAAAAADIjYUEAAAAAACQGwsJAAAAAAAgNxYSAAAAAABAbgWalgKxz79ymptv+a/xbr7PvU925nSADnL6uUuq7RIazc3Pd2/rlx1O8bd85Il+vv6mAW5+sb7u5rvU4OYDtTUzO3vog+7YrRro5us00s211o/jft59nayWj7fepBfXhc3O+THZ3/KR7/HzlTcNc/PzdLebRz3bG/pn5x8c92N37B8bhrv5ajW6OXWhN/B+R1KOX3IVRceQ/7NtW7tXdtjkb3nkR/38hokXu/nGs8f6G1jkxz+bNj0zO3n8Q+7YcVrh5q9qb3/nK/1Y24LcFR2PnYNXJAAAAAAAgNxYSAAAAAAAALmxkAAAAAAAAHJjIQEAAAAAAOTGQgIAAAAAAMiNhQQAAAAAAJAbCwkAAAAAACC3sPmsmU2U9C1JjZKSpFtSSjeY2dWSPi5pTemmV6aUZnXVRFGnTlrmxoPk56hN1IU3RP3kA15b6bB/cNQjeEKQj/DjB7O3/8VPXuYObXp0rpt/Rte5+cKPH+HmOtCPb7riksxs67iB7thmTXLzh3Syv3P/R5c2BLn7sNw9faErRV14Qy3XhUlBHtSFn2T/bF/45OXu0Kbj/ZPjU7rBzZecP8XNox/tS1+8IjN7db9x7thX5eezdKq/c+oCdSF+ylW5wnVhcpAHdeH+7Lpw5eX/7A496PgX3PyyZ272933PVj/XJj/+amNm9F9f/KQ7dKKWuvmz2w/39x3Vhc1BLu96pguPtw7uZZeky1NKT5vZEEnzzOzhUvaVlNK1XTc9ADWKugCgHHUBQDnqAtBDhQsJKaUVklaUvt5kZgslje/qiQGoXdQFAOWoCwDKUReAnqtDn5FgZpMkvU3SU6VvXWpmvzOzb5rZXhljLjazuWY2d6e2F5osgNpTtC786VWNAHoK6gKAcsXrwtpumimAPHIvJJjZYEn3SrospfSapBslHSBpmlpXGr/c3riU0i0ppaaUUlNf9e+EKQOoFZ1RF6TR3TZfAF2PugCgXOfUhVHdNl8AsVwLCWbWV60n/3dSSj+QpJTSqpRSS0ppt6SvSzqq66YJoNZQFwCUoy4AKEddAHqmcCHBzEzSNyQtTCld1+b7e7e52ZmSFnT+9ADUIuoCgHLUBQDlqAtAz2UpJf8GZsdJ+qWkZyXtLn37Sknnq/XlSElSs6RLSh+okmmojUhH20kFpwzA81R6VK+l9QX7j/k6sy6YNaW4Bw46bl2Q7+nHhzlthc4KNj08yB8M8ieCfFqQX+pkJwR9slYO8PNHgn3/JMjnBPk2/zHZ5532TUppLnWh1+vCunBGsOmoLkTnzmNBHrSF1QVOdlwwNmqvFx2qUd2gLjQrV104MsV3Vk9VpJ3f60G+PsiDujBpZHYW1YXBQR5dL8xfFdxgpx8Pd1plTw82HdUcr5WvJM0P8sei7b8W3MDj/U6PUUrzctWFPF0bnlD7VagH93oF4KEuAChHXQBQjroA9Fwd6toAAAAAAAB6NxYSAAAAAABAbiwkAAAAAACA3FhIAAAAAAAAubGQAAAAAAAAcmMhAQAAAAAA5FakKSkAoGY5fZ3zWFBhlsvWIA96Vq8M2ht7PdsXDfDHbvBjLQryxUEe9aN3e74DRdVyXQj6vauvH68Mht/vZHODsZGobjQHeVgXPNSM3mFXgbHBuaPGAtuW1Oycu9cX23T8VHVEkL/uxxtey87uGeqPnRDselSQR3WjyK+8m57i84oEAAAAAACQGwsJAAAAAAAgNxYSAAAAAABAbiwkAAAAAACA3FhIAAAAAAAAubGQAAAAAAAAcmMhAQAAAAAA5GYppe7bmdkaSUvafGuUpLXdNoGOYW6VYW6V6cy57ZtSGt1J2+py1IVOw9wq01vmRl3oOsytMsytMtSFP+ktv6fOxtwq01vmlrsudOtCwp/t3GxuSqmpahNwMLfKMLfK1PLculst3xfMrTLMrTK1PLfuVsv3BXOrDHOrTC3PrbvV8n3B3CrD3CpTrbnx1gYAAAAAAJAbCwkAAAAAACC3ai8k3FLl/XuYW2WYW2VqeW7drZbvC+ZWGeZWmVqeW3er5fuCuVWGuVWmlufW3Wr5vmBulWFulanK3Kr6GQkAAAAAAKC+VPsVCQAAAAAAoI6wkAAAAAAAAHKrykKCmZ1iZi+Y2WIz+1w15pDFzJrN7Fkzm29mc2tgPt80s9VmtqDN90aY2cNm9lLp771qaG5Xm9ny0v0338xOrcK8JprZz83seTN7zsw+Xfp+1e83Z25Vv9+qjbrQoflQFzo+L+pCHaIudGg+1IWOz4u6UIdquS5ItVUbqAsVzYu6kHc+3f0ZCWbWIOlFSX8paZmk30g6P6X0fLdOJIOZNUtqSimtrfZcJMnM3iVps6RvpZQOK33v3yWtTyldUyqge6WUrqiRuV0taXNK6drunk+bee0tae+U0tNmNkTSPElnSLpQVb7fnLmdoyrfb9VEXegY6kJF86Iu1BnqQsdQFyqaF3WhztR6XZBqqzZQFyqaF3Uhp2q8IuEoSYtTSi+nlHZIulvS6VWYR11IKf1C0vqyb58u6fbS17er9QDqdhlzq7qU0oqU0tOlrzdJWihpvGrgfnPm1ttRFzqAutBx1IW6RF3oAOpCx1EX6hJ1oQOoCx1HXcivGgsJ4yUtbfPvZaqtwpgk/dTM5pnZxdWeTIbGlNKK0tcrJTVWczLtuNTMfld6yVJVXi71BjObJOltkp5Sjd1vZXOTauh+qwLqQnE1dXy3o2aOb+pC3aAuFFdTx3c7aub4pi7UjVqvC1Lt14aaOr7bUTPHN3XBx4ct/rnjUkpHSHqvpE+WXnZTs1Lre1NqqYfnjZIOkDRN0gpJX67WRMxssKR7JV2WUnqtbVbt+62dudXM/YZ2UReKqZnjm7qATkRdKKZmjm/qAjpZ3dSGah/f7aiZ45u6EKvGQsJySRPb/HtC6Xs1IaW0vPT3akn3qfUlVLVmVek9Mm+8V2Z1lefzP1JKq1JKLSml3ZK+rirdf2bWV60n2HdSSj8ofbsm7rf25lYr91sVUReKq4njuz21cnxTF+oOdaG4mji+21Mrxzd1oe7UdF2Q6qI21MTx3Z5aOb6pC/lUYyHhN5Imm9l+ZtZP0nmSHqjCPP6MmQ0qfXCFzGyQpPdIWuCPqooHJM0ofT1D0g+rOJc3eeMEKzlTVbj/zMwkfUPSwpTSdW2iqt9vWXOrhfutyqgLxVX9+M5SC8c3daEuUReKq/rxnaUWjm/qQl2q2bog1U1tqPrxnaUWjm/qQgfmk7q5a4MkWWtLiuslNUj6ZkrpX7t9Eu0ws/3VunIoSX0k3VntuZnZXZJOkDRK0ipJV0m6X9L3JO0jaYmkc1JK3f5hJRlzO0GtL6tJkpolXdLm/UTdNa/jJP1S0rOSdpe+faVa30NU1fvNmdv5qvL9Vm3UhfyoCxXNi7pQh6gL+VEXKpoXdaEO1WpdkGqvNlAXKpoXdSHvfKqxkAAAAAAAAOoTH7YIAAAAAAByYyEBAAAAAADkxkICAAAAAADIjYUEAAAAAACQGwsJAAAAAAAgNxYSAAAAAABAbiwkAAAAAACA3P4fJskArK2qdKcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1296x432 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from vis.visualization import visualize_cam\n",
    "\n",
    "# This corresponds to the Dense linear layer.\n",
    "for class_idx in np.arange(10):    \n",
    "    indices = np.where(y_test[:, class_idx] == 1.)[0]\n",
    "    idx = indices[0]\n",
    "\n",
    "    f, ax = plt.subplots(1, 4)\n",
    "    ax[0].imshow(x_test[idx][..., 0])\n",
    "    \n",
    "    for i, modifier in enumerate([None, 'guided', 'relu']):\n",
    "        grads = visualize_cam(model, layer_idx, filter_indices=class_idx, \n",
    "                              seed_input=x_test[idx], backprop_modifier=modifier)        \n",
    "        if modifier is None:\n",
    "            modifier = 'vanilla'\n",
    "        ax[i+1].set_title(modifier)    \n",
    "        ax[i+1].imshow(grads, cmap='jet')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "In this case it appears that saliency is better than grad-CAM as penultimate MaxPooling2D layer has (12, 12) spatial resolution which is relatively large as compared to input of (28, 28). Is is likely that the conv layer hasnt captured enough high level information and most of that is likely within dense_4 layer.\n",
    "\n",
    "Here is the model summary for reference.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "conv2d_1 (Conv2D)            (None, 26, 26, 32)        320       \n",
      "_________________________________________________________________\n",
      "conv2d_2 (Conv2D)            (None, 24, 24, 64)        18496     \n",
      "_________________________________________________________________\n",
      "max_pooling2d_1 (MaxPooling2 (None, 12, 12, 64)        0         \n",
      "_________________________________________________________________\n",
      "dropout_1 (Dropout)          (None, 12, 12, 64)        0         \n",
      "_________________________________________________________________\n",
      "flatten_1 (Flatten)          (None, 9216)              0         \n",
      "_________________________________________________________________\n",
      "dense_1 (Dense)              (None, 128)               1179776   \n",
      "_________________________________________________________________\n",
      "dropout_2 (Dropout)          (None, 128)               0         \n",
      "_________________________________________________________________\n",
      "preds (Dense)                (None, 10)                1290      \n",
      "=================================================================\n",
      "Total params: 1,199,882\n",
      "Trainable params: 1,199,882\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "print(model.summary())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "## Visualization without swapping softmax\n",
    "\n",
    "As alluded at the beginning of the tutorial, we want to compare and see what happens if we didnt swap out softmax for linear activation. Lets try this with guided saliency which gave us the best results so far.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Swap linear back with softmax\n",
    "model.layers[layer_idx].activation = activations.softmax\n",
    "model = utils.apply_modifications(model)\n",
    "\n",
    "for class_idx in np.arange(10):    \n",
    "    indices = np.where(y_test[:, class_idx] == 1.)[0]\n",
    "    idx = indices[0]\n",
    "    \n",
    "    grads = visualize_saliency(model, layer_idx, filter_indices=class_idx, \n",
    "                               seed_input=x_test[idx], backprop_modifier='guided')\n",
    "\n",
    "    f, ax = plt.subplots(1, 2)\n",
    "    ax[0].imshow(x_test[idx][..., 0])\n",
    "    ax[1].imshow(grads, cmap='jet')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "It does not work as well!\n",
    "\n",
    "The reason is that maximizing an output node can be done by minimizing other outputs. Softmax is weird that way. It is the only activation that depends on other node output(s) in the layer.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
